Pandas Profiling Report

Dataset statistics

Number of variables	124
Number of observations	1700
Missing cells	15974
Missing cells (%)	7.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.6 MiB
Average record size in memory	992.1 B

Variable types

Numeric	16
Categorical	108

Warnings

`ID` is highly correlated with `LET_IS`	High correlation
`AGE` is highly correlated with `KFK_BLOOD`	High correlation
`SEX` is highly correlated with `KFK_BLOOD`	High correlation
`STENOK_AN` is highly correlated with `FK_STENOK` and 1 other fields	High correlation
`FK_STENOK` is highly correlated with `STENOK_AN` and 1 other fields	High correlation
`GB` is highly correlated with `DLIT_AG`	High correlation
`DLIT_AG` is highly correlated with `GB`	High correlation
`ZSN_A` is highly correlated with `KFK_BLOOD`	High correlation
`nr_04` is highly correlated with `ritm_ecg_p_02` and 1 other fields	High correlation
`endocr_02` is highly correlated with `KFK_BLOOD`	High correlation
`S_AD_KBRIG` is highly correlated with `D_AD_KBRIG` and 2 other fields	High correlation
`D_AD_KBRIG` is highly correlated with `S_AD_KBRIG` and 3 other fields	High correlation
`S_AD_ORIT` is highly correlated with `S_AD_KBRIG` and 3 other fields	High correlation
`D_AD_ORIT` is highly correlated with `S_AD_KBRIG` and 4 other fields	High correlation
`K_SH_POST` is highly correlated with `D_AD_KBRIG` and 1 other fields	High correlation
`MP_TP_POST` is highly correlated with `ritm_ecg_p_02` and 1 other fields	High correlation
`SVT_POST` is highly correlated with `n_r_ecg_p_08`	High correlation
`ant_im` is highly correlated with `lat_im` and 2 other fields	High correlation
`lat_im` is highly correlated with `ant_im`	High correlation
`inf_im` is highly correlated with `ant_im` and 1 other fields	High correlation
`ritm_ecg_p_01` is highly correlated with `ritm_ecg_p_07` and 1 other fields	High correlation
`ritm_ecg_p_02` is highly correlated with `nr_04` and 4 other fields	High correlation
`ritm_ecg_p_04` is highly correlated with `n_p_ecg_p_06`	High correlation
`ritm_ecg_p_07` is highly correlated with `ritm_ecg_p_01`	High correlation
`n_r_ecg_p_05` is highly correlated with `MP_TP_POST` and 1 other fields	High correlation
`n_r_ecg_p_06` is highly correlated with `nr_04` and 2 other fields	High correlation
`n_r_ecg_p_08` is highly correlated with `SVT_POST`	High correlation
`n_p_ecg_p_06` is highly correlated with `ritm_ecg_p_04`	High correlation
`n_p_ecg_p_10` is highly correlated with `KFK_BLOOD`	High correlation
`GIPO_K` is highly correlated with `K_BLOOD`	High correlation
`K_BLOOD` is highly correlated with `GIPO_K`	High correlation
`ALT_BLOOD` is highly correlated with `AST_BLOOD`	High correlation
`AST_BLOOD` is highly correlated with `ALT_BLOOD`	High correlation
`KFK_BLOOD` is highly correlated with `AGE` and 22 other fields	High correlation
`L_BLOOD` is highly correlated with `KFK_BLOOD`	High correlation
`ROE` is highly correlated with `KFK_BLOOD`	High correlation
`TIME_B_S` is highly correlated with `KFK_BLOOD`	High correlation
`R_AB_1_n` is highly correlated with `NA_R_1_n`	High correlation
`R_AB_2_n` is highly correlated with `NA_R_2_n`	High correlation
`R_AB_3_n` is highly correlated with `NA_R_3_n`	High correlation
`NA_KB` is highly correlated with `KFK_BLOOD`	High correlation
`LID_KB` is highly correlated with `KFK_BLOOD`	High correlation
`NA_R_1_n` is highly correlated with `KFK_BLOOD` and 1 other fields	High correlation
`NA_R_2_n` is highly correlated with `R_AB_2_n`	High correlation
`NA_R_3_n` is highly correlated with `R_AB_3_n`	High correlation
`NOT_NA_2_n` is highly correlated with `NOT_NA_3_n`	High correlation
`NOT_NA_3_n` is highly correlated with `NOT_NA_2_n`	High correlation
`LID_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`GEPAR_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`FIBR_JELUD` is highly correlated with `KFK_BLOOD`	High correlation
`LET_IS` is highly correlated with `ID`	High correlation
`ID` is highly correlated with `LET_IS`	High correlation
`AGE` is highly correlated with `KFK_BLOOD`	High correlation
`SEX` is highly correlated with `KFK_BLOOD`	High correlation
`STENOK_AN` is highly correlated with `FK_STENOK` and 1 other fields	High correlation
`FK_STENOK` is highly correlated with `STENOK_AN` and 1 other fields	High correlation
`GB` is highly correlated with `DLIT_AG`	High correlation
`DLIT_AG` is highly correlated with `GB`	High correlation
`ZSN_A` is highly correlated with `KFK_BLOOD`	High correlation
`nr_04` is highly correlated with `ritm_ecg_p_02` and 1 other fields	High correlation
`endocr_02` is highly correlated with `KFK_BLOOD`	High correlation
`S_AD_KBRIG` is highly correlated with `D_AD_KBRIG` and 2 other fields	High correlation
`D_AD_KBRIG` is highly correlated with `S_AD_KBRIG`	High correlation
`S_AD_ORIT` is highly correlated with `S_AD_KBRIG` and 2 other fields	High correlation
`D_AD_ORIT` is highly correlated with `S_AD_KBRIG` and 2 other fields	High correlation
`MP_TP_POST` is highly correlated with `ritm_ecg_p_02` and 1 other fields	High correlation
`SVT_POST` is highly correlated with `n_r_ecg_p_08`	High correlation
`ant_im` is highly correlated with `lat_im` and 1 other fields	High correlation
`lat_im` is highly correlated with `ant_im` and 2 other fields	High correlation
`inf_im` is highly correlated with `ant_im` and 2 other fields	High correlation
`ritm_ecg_p_01` is highly correlated with `ritm_ecg_p_07` and 1 other fields	High correlation
`ritm_ecg_p_02` is highly correlated with `nr_04` and 4 other fields	High correlation
`ritm_ecg_p_04` is highly correlated with `n_p_ecg_p_06`	High correlation
`ritm_ecg_p_07` is highly correlated with `ritm_ecg_p_01`	High correlation
`n_r_ecg_p_05` is highly correlated with `MP_TP_POST` and 1 other fields	High correlation
`n_r_ecg_p_06` is highly correlated with `nr_04` and 2 other fields	High correlation
`n_r_ecg_p_08` is highly correlated with `SVT_POST`	High correlation
`n_p_ecg_p_06` is highly correlated with `ritm_ecg_p_04`	High correlation
`n_p_ecg_p_10` is highly correlated with `KFK_BLOOD`	High correlation
`GIPO_K` is highly correlated with `K_BLOOD`	High correlation
`K_BLOOD` is highly correlated with `GIPO_K`	High correlation
`NA_BLOOD` is highly correlated with `KFK_BLOOD`	High correlation
`ALT_BLOOD` is highly correlated with `AST_BLOOD` and 1 other fields	High correlation
`AST_BLOOD` is highly correlated with `ALT_BLOOD` and 1 other fields	High correlation
`KFK_BLOOD` is highly correlated with `AGE` and 24 other fields	High correlation
`TIME_B_S` is highly correlated with `KFK_BLOOD`	High correlation
`R_AB_1_n` is highly correlated with `NA_R_1_n`	High correlation
`R_AB_2_n` is highly correlated with `NA_R_2_n`	High correlation
`R_AB_3_n` is highly correlated with `NA_R_3_n`	High correlation
`NA_KB` is highly correlated with `KFK_BLOOD`	High correlation
`LID_KB` is highly correlated with `KFK_BLOOD`	High correlation
`NA_R_1_n` is highly correlated with `KFK_BLOOD` and 1 other fields	High correlation
`NA_R_2_n` is highly correlated with `R_AB_2_n`	High correlation
`NA_R_3_n` is highly correlated with `R_AB_3_n`	High correlation
`GEPAR_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`ASP_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`FIBR_JELUD` is highly correlated with `KFK_BLOOD`	High correlation
`REC_IM` is highly correlated with `KFK_BLOOD`	High correlation
`LET_IS` is highly correlated with `ID`	High correlation
`ID` is highly correlated with `LET_IS`	High correlation
`AGE` is highly correlated with `KFK_BLOOD`	High correlation
`SEX` is highly correlated with `KFK_BLOOD`	High correlation
`STENOK_AN` is highly correlated with `FK_STENOK` and 1 other fields	High correlation
`FK_STENOK` is highly correlated with `STENOK_AN` and 1 other fields	High correlation
`GB` is highly correlated with `DLIT_AG`	High correlation
`DLIT_AG` is highly correlated with `GB`	High correlation
`ZSN_A` is highly correlated with `KFK_BLOOD`	High correlation
`nr_04` is highly correlated with `ritm_ecg_p_02` and 1 other fields	High correlation
`endocr_02` is highly correlated with `KFK_BLOOD`	High correlation
`S_AD_KBRIG` is highly correlated with `D_AD_KBRIG`	High correlation
`D_AD_KBRIG` is highly correlated with `S_AD_KBRIG`	High correlation
`S_AD_ORIT` is highly correlated with `D_AD_ORIT` and 1 other fields	High correlation
`D_AD_ORIT` is highly correlated with `S_AD_ORIT` and 1 other fields	High correlation
`MP_TP_POST` is highly correlated with `ritm_ecg_p_02` and 1 other fields	High correlation
`SVT_POST` is highly correlated with `n_r_ecg_p_08`	High correlation
`ant_im` is highly correlated with `lat_im` and 1 other fields	High correlation
`lat_im` is highly correlated with `ant_im` and 1 other fields	High correlation
`inf_im` is highly correlated with `ant_im` and 1 other fields	High correlation
`ritm_ecg_p_01` is highly correlated with `ritm_ecg_p_07` and 1 other fields	High correlation
`ritm_ecg_p_02` is highly correlated with `nr_04` and 4 other fields	High correlation
`ritm_ecg_p_04` is highly correlated with `n_p_ecg_p_06`	High correlation
`ritm_ecg_p_07` is highly correlated with `ritm_ecg_p_01`	High correlation
`n_r_ecg_p_05` is highly correlated with `MP_TP_POST` and 1 other fields	High correlation
`n_r_ecg_p_06` is highly correlated with `nr_04` and 2 other fields	High correlation
`n_r_ecg_p_08` is highly correlated with `SVT_POST`	High correlation
`n_p_ecg_p_06` is highly correlated with `ritm_ecg_p_04`	High correlation
`n_p_ecg_p_10` is highly correlated with `KFK_BLOOD`	High correlation
`GIPO_K` is highly correlated with `K_BLOOD`	High correlation
`K_BLOOD` is highly correlated with `GIPO_K`	High correlation
`KFK_BLOOD` is highly correlated with `AGE` and 21 other fields	High correlation
`TIME_B_S` is highly correlated with `KFK_BLOOD`	High correlation
`R_AB_2_n` is highly correlated with `NA_R_2_n`	High correlation
`R_AB_3_n` is highly correlated with `NA_R_3_n`	High correlation
`NA_KB` is highly correlated with `KFK_BLOOD`	High correlation
`LID_KB` is highly correlated with `KFK_BLOOD`	High correlation
`NA_R_1_n` is highly correlated with `KFK_BLOOD`	High correlation
`NA_R_2_n` is highly correlated with `R_AB_2_n`	High correlation
`NA_R_3_n` is highly correlated with `R_AB_3_n`	High correlation
`GEPAR_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`ASP_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`FIBR_JELUD` is highly correlated with `KFK_BLOOD`	High correlation
`REC_IM` is highly correlated with `KFK_BLOOD`	High correlation
`LET_IS` is highly correlated with `ID`	High correlation
`n_p_ecg_p_06` is highly correlated with `ritm_ecg_p_04`	High correlation
`NA_R_3_n` is highly correlated with `R_AB_3_n`	High correlation
`S_AD_KBRIG` is highly correlated with `S_AD_ORIT` and 3 other fields	High correlation
`endocr_02` is highly correlated with `KFK_BLOOD`	High correlation
`ritm_ecg_p_01` is highly correlated with `ritm_ecg_p_02` and 2 other fields	High correlation
`n_p_ecg_p_10` is highly correlated with `KFK_BLOOD`	High correlation
`ritm_ecg_p_06` is highly correlated with `n_r_ecg_p_10` and 8 other fields	High correlation
`LID_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`ritm_ecg_p_02` is highly correlated with `ritm_ecg_p_01` and 5 other fields	High correlation
`n_r_ecg_p_10` is highly correlated with `ritm_ecg_p_06` and 2 other fields	High correlation
`ritm_ecg_p_04` is highly correlated with `n_p_ecg_p_06`	High correlation
`FIBR_JELUD` is highly correlated with `KFK_BLOOD`	High correlation
`ant_im` is highly correlated with `post_im` and 3 other fields	High correlation
`n_r_ecg_p_05` is highly correlated with `ritm_ecg_p_02` and 1 other fields	High correlation
`zab_leg_02` is highly correlated with `KFK_BLOOD`	High correlation
`NA_R_1_n` is highly correlated with `KFK_BLOOD`	High correlation
`S_AD_ORIT` is highly correlated with `S_AD_KBRIG` and 4 other fields	High correlation
`fibr_ter_08` is highly correlated with `ritm_ecg_p_06` and 3 other fields	High correlation
`nr_07` is highly correlated with `ritm_ecg_p_06` and 8 other fields	High correlation
`ritm_ecg_p_07` is highly correlated with `ritm_ecg_p_01`	High correlation
`GIPER_NA` is highly correlated with `NA_BLOOD`	High correlation
`R_AB_2_n` is highly correlated with `fibr_ter_06` and 4 other fields	High correlation
`SVT_POST` is highly correlated with `n_r_ecg_p_08`	High correlation
`IBS_POST` is highly correlated with `KFK_BLOOD` and 2 other fields	High correlation
`SEX` is highly correlated with `KFK_BLOOD` and 1 other fields	High correlation
`post_im` is highly correlated with `ant_im`	High correlation
`DLIT_AG` is highly correlated with `KFK_BLOOD` and 1 other fields	High correlation
`fibr_ter_06` is highly correlated with `R_AB_2_n` and 1 other fields	High correlation
`IBS_NASL` is highly correlated with `S_AD_ORIT`	High correlation
`KFK_BLOOD` is highly correlated with `endocr_02` and 41 other fields	High correlation
`GIPO_K` is highly correlated with `K_BLOOD`	High correlation
`INF_ANAM` is highly correlated with `KFK_BLOOD`	High correlation
`nr_01` is highly correlated with `ritm_ecg_p_06`	High correlation
`GB` is highly correlated with `DLIT_AG`	High correlation
`FK_STENOK` is highly correlated with `IBS_POST` and 2 other fields	High correlation
`TIME_B_S` is highly correlated with `KFK_BLOOD`	High correlation
`n_r_ecg_p_09` is highly correlated with `ritm_ecg_p_06` and 3 other fields	High correlation
`GEPAR_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`NA_R_2_n` is highly correlated with `R_AB_2_n` and 3 other fields	High correlation
`AST_BLOOD` is highly correlated with `KFK_BLOOD` and 1 other fields	High correlation
`NOT_NA_3_n` is highly correlated with `NOT_NA_2_n`	High correlation
`ALT_BLOOD` is highly correlated with `KFK_BLOOD` and 1 other fields	High correlation
`L_BLOOD` is highly correlated with `KFK_BLOOD`	High correlation
`RAZRIV` is highly correlated with `LET_IS`	High correlation
`NOT_NA_2_n` is highly correlated with `R_AB_2_n` and 1 other fields	High correlation
`K_BLOOD` is highly correlated with `KFK_BLOOD` and 1 other fields	High correlation
`inf_im` is highly correlated with `ant_im` and 2 other fields	High correlation
`np_07` is highly correlated with `n_r_ecg_p_10` and 7 other fields	High correlation
`np_01` is highly correlated with `ritm_ecg_p_06` and 2 other fields	High correlation
`R_AB_3_n` is highly correlated with `NA_R_3_n` and 3 other fields	High correlation
`ID` is highly correlated with `KFK_BLOOD` and 1 other fields	High correlation
`NA_BLOOD` is highly correlated with `GIPER_NA` and 1 other fields	High correlation
`nr_04` is highly correlated with `ritm_ecg_p_02` and 2 other fields	High correlation
`endocr_01` is highly correlated with `KFK_BLOOD`	High correlation
`LET_IS` is highly correlated with `RAZRIV` and 2 other fields	High correlation
`n_r_ecg_p_08` is highly correlated with `SVT_POST`	High correlation
`NITR_S` is highly correlated with `KFK_BLOOD`	High correlation
`n_p_ecg_p_01` is highly correlated with `ritm_ecg_p_06` and 2 other fields	High correlation
`D_AD_KBRIG` is highly correlated with `S_AD_KBRIG` and 3 other fields	High correlation
`ROE` is highly correlated with `KFK_BLOOD`	High correlation
`n_p_ecg_p_05` is highly correlated with `ritm_ecg_p_06` and 2 other fields	High correlation
`lat_im` is highly correlated with `ant_im` and 2 other fields	High correlation
`ZSN` is highly correlated with `KFK_BLOOD`	High correlation
`zab_leg_01` is highly correlated with `KFK_BLOOD`	High correlation
`ANT_CA_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`REC_IM` is highly correlated with `KFK_BLOOD`	High correlation
`np_09` is highly correlated with `ritm_ecg_p_06` and 2 other fields	High correlation
`OTEK_LANC` is highly correlated with `KFK_BLOOD`	High correlation
`K_SH_POST` is highly correlated with `S_AD_KBRIG` and 4 other fields	High correlation
`D_AD_ORIT` is highly correlated with `S_AD_KBRIG` and 3 other fields	High correlation
`R_AB_1_n` is highly correlated with `KFK_BLOOD`	High correlation
`STENOK_AN` is highly correlated with `IBS_POST` and 2 other fields	High correlation
`n_r_ecg_p_06` is highly correlated with `ritm_ecg_p_02` and 3 other fields	High correlation
`ZSN_A` is highly correlated with `KFK_BLOOD`	High correlation
`AGE` is highly correlated with `SEX` and 1 other fields	High correlation
`ASP_S_n` is highly correlated with `KFK_BLOOD`	High correlation
`MP_TP_POST` is highly correlated with `ritm_ecg_p_02` and 4 other fields	High correlation
`STENOK_AN` has 106 (6.2%) missing values	Missing
`FK_STENOK` has 73 (4.3%) missing values	Missing
`IBS_POST` has 51 (3.0%) missing values	Missing
`IBS_NASL` has 1628 (95.8%) missing values	Missing
`DLIT_AG` has 248 (14.6%) missing values	Missing
`ZSN_A` has 54 (3.2%) missing values	Missing
`nr_11` has 21 (1.2%) missing values	Missing
`nr_01` has 21 (1.2%) missing values	Missing
`nr_02` has 21 (1.2%) missing values	Missing
`nr_03` has 21 (1.2%) missing values	Missing
`nr_04` has 21 (1.2%) missing values	Missing
`nr_07` has 21 (1.2%) missing values	Missing
`nr_08` has 21 (1.2%) missing values	Missing
`np_01` has 18 (1.1%) missing values	Missing
`np_04` has 18 (1.1%) missing values	Missing
`np_05` has 18 (1.1%) missing values	Missing
`np_07` has 18 (1.1%) missing values	Missing
`np_08` has 18 (1.1%) missing values	Missing
`np_09` has 18 (1.1%) missing values	Missing
`np_10` has 18 (1.1%) missing values	Missing
`S_AD_KBRIG` has 1076 (63.3%) missing values	Missing
`D_AD_KBRIG` has 1076 (63.3%) missing values	Missing
`S_AD_ORIT` has 267 (15.7%) missing values	Missing
`D_AD_ORIT` has 267 (15.7%) missing values	Missing
`ant_im` has 83 (4.9%) missing values	Missing
`lat_im` has 80 (4.7%) missing values	Missing
`inf_im` has 80 (4.7%) missing values	Missing
`post_im` has 72 (4.2%) missing values	Missing
`ritm_ecg_p_01` has 152 (8.9%) missing values	Missing
`ritm_ecg_p_02` has 152 (8.9%) missing values	Missing
`ritm_ecg_p_04` has 152 (8.9%) missing values	Missing
`ritm_ecg_p_06` has 152 (8.9%) missing values	Missing
`ritm_ecg_p_07` has 152 (8.9%) missing values	Missing
`ritm_ecg_p_08` has 152 (8.9%) missing values	Missing
`n_r_ecg_p_01` has 115 (6.8%) missing values	Missing
`n_r_ecg_p_02` has 115 (6.8%) missing values	Missing
`n_r_ecg_p_03` has 115 (6.8%) missing values	Missing
`n_r_ecg_p_04` has 115 (6.8%) missing values	Missing
`n_r_ecg_p_05` has 115 (6.8%) missing values	Missing
`n_r_ecg_p_06` has 115 (6.8%) missing values	Missing
`n_r_ecg_p_08` has 115 (6.8%) missing values	Missing
`n_r_ecg_p_09` has 115 (6.8%) missing values	Missing
`n_r_ecg_p_10` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_01` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_03` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_04` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_05` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_06` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_07` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_08` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_09` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_10` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_11` has 115 (6.8%) missing values	Missing
`n_p_ecg_p_12` has 115 (6.8%) missing values	Missing
`GIPO_K` has 369 (21.7%) missing values	Missing
`K_BLOOD` has 371 (21.8%) missing values	Missing
`GIPER_NA` has 375 (22.1%) missing values	Missing
`NA_BLOOD` has 375 (22.1%) missing values	Missing
`ALT_BLOOD` has 284 (16.7%) missing values	Missing
`AST_BLOOD` has 285 (16.8%) missing values	Missing
`KFK_BLOOD` has 1696 (99.8%) missing values	Missing
`L_BLOOD` has 125 (7.4%) missing values	Missing
`ROE` has 203 (11.9%) missing values	Missing
`TIME_B_S` has 126 (7.4%) missing values	Missing
`R_AB_2_n` has 108 (6.4%) missing values	Missing
`R_AB_3_n` has 128 (7.5%) missing values	Missing
`NA_KB` has 657 (38.6%) missing values	Missing
`NOT_NA_KB` has 686 (40.4%) missing values	Missing
`LID_KB` has 677 (39.8%) missing values	Missing
`NA_R_2_n` has 108 (6.4%) missing values	Missing
`NA_R_3_n` has 131 (7.7%) missing values	Missing
`NOT_NA_2_n` has 110 (6.5%) missing values	Missing
`NOT_NA_3_n` has 131 (7.7%) missing values	Missing
`ID` is uniformly distributed	Uniform
`KFK_BLOOD` is uniformly distributed	Uniform
`ID` has unique values	Unique
`STENOK_AN` has 661 (38.9%) zeros	Zeros
`DLIT_AG` has 551 (32.4%) zeros	Zeros
`D_AD_ORIT` has 18 (1.1%) zeros	Zeros
`LET_IS` has 1429 (84.1%) zeros	Zeros

Reproduction

Analysis started	2021-06-12 20:37:29.260220
Analysis finished	2021-06-12 20:38:29.490832
Duration	1 minute and 0.23 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

ID
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1700
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	850.5

Minimum	1
Maximum	1700
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	1
5-th percentile	85.95
Q1	425.75
median	850.5
Q3	1275.25
95-th percentile	1615.05
Maximum	1700
Range	1699
Interquartile range (IQR)	849.5

Descriptive statistics

Standard deviation	490.8920452
Coefficient of variation (CV)	0.5771805352
Kurtosis	-1.2
Mean	850.5
Median Absolute Deviation (MAD)	425
Skewness	0
Sum	1445850
Variance	240975
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	1	0.1%
585	1	0.1%
581	1	0.1%
579	1	0.1%
577	1	0.1%
575	1	0.1%
573	1	0.1%
571	1	0.1%
569	1	0.1%
567	1	0.1%
Other values (1690)	1690	99.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1700	1	0.1%
1699	1	0.1%
1698	1	0.1%
1697	1	0.1%
1696	1	0.1%
1695	1	0.1%
1694	1	0.1%
1693	1	0.1%
1692	1	0.1%
1691	1	0.1%

AGE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	62
Distinct (%)	3.7%
Missing	8
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	61.856974

Minimum	26
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	26
5-th percentile	42
Q1	54
median	63
Q3	70
95-th percentile	80
Maximum	92
Range	66
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	11.25993582
Coefficient of variation (CV)	0.182031792
Kurtosis	-0.1838397326
Mean	61.856974
Median Absolute Deviation (MAD)	8
Skewness	-0.2197558292
Sum	104662
Variance	126.7861548
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
63	90	5.3%
65	81	4.8%
62	79	4.6%
64	68	4.0%
70	66	3.9%
52	57	3.4%
61	54	3.2%
66	54	3.2%
55	53	3.1%
57	53	3.1%
Other values (52)	1037	61.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
26	1	0.1%
27	2	0.1%
30	1	0.1%
32	3	0.2%
33	3	0.2%
34	6	0.4%
35	5	0.3%
36	2	0.1%
37	14	0.8%
38	13	0.8%

Value	Count	Frequency (%)
92	2	0.1%
90	2	0.1%
88	5	0.3%
87	4	0.2%
86	2	0.1%
85	5	0.3%
84	7	0.4%
83	16	0.9%
82	13	0.8%
81	12	0.7%

SEX
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

1	1065
0	635

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	1065	62.6%
0	635	37.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1065	62.6%
0	635	37.4%

Most occurring characters

Value	Count	Frequency (%)
1	1065	62.6%
0	635	37.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1065	62.6%
0	635	37.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1065	62.6%
0	635	37.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1065	62.6%
0	635	37.4%

INF_ANAM
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	4
Missing (%)	0.2%
Memory size	13.4 KiB

0.0	1060
1.0	410
2.0	147
3.0	79

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5088
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1060	62.4%
1.0	410	24.1%
2.0	147	8.6%
3.0	79	4.6%
(Missing)	4	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1060	62.5%
1.0	410	24.2%
2.0	147	8.7%
3.0	79	4.7%

Most occurring characters

Value	Count	Frequency (%)
0	2756	54.2%
.	1696	33.3%
1	410	8.1%
2	147	2.9%
3	79	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3392	66.7%
Other Punctuation	1696	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2756	81.2%
1	410	12.1%
2	147	4.3%
3	79	2.3%

Other Punctuation

Value	Count	Frequency (%)
.	1696	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5088	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2756	54.2%
.	1696	33.3%
1	410	8.1%
2	147	2.9%
3	79	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5088	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2756	54.2%
.	1696	33.3%
1	410	8.1%
2	147	2.9%
3	79	1.6%

STENOK_AN
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	7
Distinct (%)	0.4%
Missing	106
Missing (%)	6.2%
Infinite	0
Infinite (%)	0.0%
Mean	2.316185696

Minimum	0
Maximum	6
Zeros	661
Zeros (%)	38.9%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	5
95-th percentile	6
Maximum	6
Range	6
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.440586205
Coefficient of variation (CV)	1.053709212
Kurtosis	-1.447653809
Mean	2.316185696
Median Absolute Deviation (MAD)	1
Skewness	0.4696783855
Sum	3692
Variance	5.956461023
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	661	38.9%
6	332	19.5%
1	146	8.6%
2	137	8.1%
5	125	7.4%
3	117	6.9%
4	76	4.5%
(Missing)	106	6.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	661	38.9%
1	146	8.6%
2	137	8.1%
3	117	6.9%
4	76	4.5%
5	125	7.4%
6	332	19.5%

Value	Count	Frequency (%)
6	332	19.5%
5	125	7.4%
4	76	4.5%
3	117	6.9%
2	137	8.1%
1	146	8.6%
0	661	38.9%

FK_STENOK
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.3%
Missing	73
Missing (%)	4.3%
Memory size	13.4 KiB

2.0	854
0.0	661
3.0	54
1.0	47
4.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4881
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
2.0	854	50.2%
0.0	661	38.9%
3.0	54	3.2%
1.0	47	2.8%
4.0	11	0.6%
(Missing)	73	4.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	854	52.5%
0.0	661	40.6%
3.0	54	3.3%
1.0	47	2.9%
4.0	11	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	2288	46.9%
.	1627	33.3%
2	854	17.5%
3	54	1.1%
1	47	1.0%
4	11	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3254	66.7%
Other Punctuation	1627	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2288	70.3%
2	854	26.2%
3	54	1.7%
1	47	1.4%
4	11	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	1627	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4881	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2288	46.9%
.	1627	33.3%
2	854	17.5%
3	54	1.1%
1	47	1.0%
4	11	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4881	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2288	46.9%
.	1627	33.3%
2	854	17.5%
3	54	1.1%
1	47	1.0%
4	11	0.2%

IBS_POST
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.2%
Missing	51
Missing (%)	3.0%
Memory size	13.4 KiB

2.0	683
1.0	548
0.0	418

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4947
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	0.0
3rd row	2.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	683	40.2%
1.0	548	32.2%
0.0	418	24.6%
(Missing)	51	3.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	683	41.4%
1.0	548	33.2%
0.0	418	25.3%

Most occurring characters

Value	Count	Frequency (%)
0	2067	41.8%
.	1649	33.3%
2	683	13.8%
1	548	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3298	66.7%
Other Punctuation	1649	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2067	62.7%
2	683	20.7%
1	548	16.6%

Other Punctuation

Value	Count	Frequency (%)
.	1649	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4947	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2067	41.8%
.	1649	33.3%
2	683	13.8%
1	548	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4947	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2067	41.8%
.	1649	33.3%
2	683	13.8%
1	548	11.1%

IBS_NASL
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	2.8%
Missing	1628
Missing (%)	95.8%
Memory size	13.4 KiB

0.0	45
1.0	27

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	216
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	45	2.6%
1.0	27	1.6%
(Missing)	1628	95.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	45	62.5%
1.0	27	37.5%

Most occurring characters

Value	Count	Frequency (%)
0	117	54.2%
.	72	33.3%
1	27	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	144	66.7%
Other Punctuation	72	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	117	81.2%
1	27	18.8%

Other Punctuation

Value	Count	Frequency (%)
.	72	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	216	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	117	54.2%
.	72	33.3%
1	27	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	117	54.2%
.	72	33.3%
1	27	12.5%

GB
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	9
Missing (%)	0.5%
Memory size	13.4 KiB

2.0	880
0.0	605
3.0	195
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5073
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	0.0
3rd row	2.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	880	51.8%
0.0	605	35.6%
3.0	195	11.5%
1.0	11	0.6%
(Missing)	9	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	880	52.0%
0.0	605	35.8%
3.0	195	11.5%
1.0	11	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	2296	45.3%
.	1691	33.3%
2	880	17.3%
3	195	3.8%
1	11	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3382	66.7%
Other Punctuation	1691	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2296	67.9%
2	880	26.0%
3	195	5.8%
1	11	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	1691	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5073	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2296	45.3%
.	1691	33.3%
2	880	17.3%
3	195	3.8%
1	11	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5073	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2296	45.3%
.	1691	33.3%
2	880	17.3%
3	195	3.8%
1	11	0.2%

SIM_GIPERT
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	8
Missing (%)	0.5%
Memory size	13.4 KiB

0.0	1635
1.0	57

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5076
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1635	96.2%
1.0	57	3.4%
(Missing)	8	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1635	96.6%
1.0	57	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	3327	65.5%
.	1692	33.3%
1	57	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3384	66.7%
Other Punctuation	1692	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3327	98.3%
1	57	1.7%

Other Punctuation

Value	Count	Frequency (%)
.	1692	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5076	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3327	65.5%
.	1692	33.3%
1	57	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5076	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3327	65.5%
.	1692	33.3%
1	57	1.1%

DLIT_AG
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	8
Distinct (%)	0.6%
Missing	248
Missing (%)	14.6%
Infinite	0
Infinite (%)	0.0%
Mean	3.340220386

Minimum	0
Maximum	7
Zeros	551
Zeros (%)	32.4%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	7
95-th percentile	7
Maximum	7
Range	7
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.098645925
Coefficient of variation (CV)	0.9276770893
Kurtosis	-1.821060826
Mean	3.340220386
Median Absolute Deviation (MAD)	3
Skewness	0.06385981297
Sum	4850
Variance	9.601606568
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	551	32.4%
7	432	25.4%
6	165	9.7%
1	93	5.5%
5	73	4.3%
3	58	3.4%
2	58	3.4%
4	22	1.3%
(Missing)	248	14.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	551	32.4%
1	93	5.5%
2	58	3.4%
3	58	3.4%
4	22	1.3%
5	73	4.3%
6	165	9.7%
7	432	25.4%

Value	Count	Frequency (%)
7	432	25.4%
6	165	9.7%
5	73	4.3%
4	22	1.3%
3	58	3.4%
2	58	3.4%
1	93	5.5%
0	551	32.4%

ZSN_A
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.3%
Missing	54
Missing (%)	3.2%
Memory size	13.4 KiB

0.0	1468
1.0	103
3.0	29
2.0	27
4.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4938
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1468	86.4%
1.0	103	6.1%
3.0	29	1.7%
2.0	27	1.6%
4.0	19	1.1%
(Missing)	54	3.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1468	89.2%
1.0	103	6.3%
3.0	29	1.8%
2.0	27	1.6%
4.0	19	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	3114	63.1%
.	1646	33.3%
1	103	2.1%
3	29	0.6%
2	27	0.5%
4	19	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3292	66.7%
Other Punctuation	1646	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3114	94.6%
1	103	3.1%
3	29	0.9%
2	27	0.8%
4	19	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	1646	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4938	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3114	63.1%
.	1646	33.3%
1	103	2.1%
3	29	0.6%
2	27	0.5%
4	19	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4938	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3114	63.1%
.	1646	33.3%
1	103	2.1%
3	29	0.6%
2	27	0.5%
4	19	0.4%

nr_11
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	21
Missing (%)	1.2%
Memory size	13.4 KiB

0.0	1637
1.0	42

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5037
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1637	96.3%
1.0	42	2.5%
(Missing)	21	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1637	97.5%
1.0	42	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	3316	65.8%
.	1679	33.3%
1	42	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3358	66.7%
Other Punctuation	1679	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3316	98.7%
1	42	1.3%

Other Punctuation

Value	Count	Frequency (%)
.	1679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3316	65.8%
.	1679	33.3%
1	42	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3316	65.8%
.	1679	33.3%
1	42	0.8%

nr_01
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	21
Missing (%)	1.2%
Memory size	13.4 KiB

0.0	1675
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5037
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1675	98.5%
1.0	4	0.2%
(Missing)	21	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1675	99.8%
1.0	4	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	3354	66.6%
.	1679	33.3%
1	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3358	66.7%
Other Punctuation	1679	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3354	99.9%
1	4	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3354	66.6%
.	1679	33.3%
1	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3354	66.6%
.	1679	33.3%
1	4	0.1%

nr_02
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	21
Missing (%)	1.2%
Memory size	13.4 KiB

0.0	1660
1.0	19

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5037
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1660	97.6%
1.0	19	1.1%
(Missing)	21	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1660	98.9%
1.0	19	1.1%

Most occurring characters

Value	Count	Frequency (%)
0	3339	66.3%
.	1679	33.3%
1	19	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3358	66.7%
Other Punctuation	1679	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3339	99.4%
1	19	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	1679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3339	66.3%
.	1679	33.3%
1	19	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3339	66.3%
.	1679	33.3%
1	19	0.4%

nr_03
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	21
Missing (%)	1.2%
Memory size	13.4 KiB

0.0	1644
1.0	35

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5037
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1644	96.7%
1.0	35	2.1%
(Missing)	21	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1644	97.9%
1.0	35	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	3323	66.0%
.	1679	33.3%
1	35	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3358	66.7%
Other Punctuation	1679	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3323	99.0%
1	35	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	1679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3323	66.0%
.	1679	33.3%
1	35	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3323	66.0%
.	1679	33.3%
1	35	0.7%

nr_04
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	21
Missing (%)	1.2%
Memory size	13.4 KiB

0.0	1650
1.0	29

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5037
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1650	97.1%
1.0	29	1.7%
(Missing)	21	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1650	98.3%
1.0	29	1.7%

Most occurring characters

Value	Count	Frequency (%)
0	3329	66.1%
.	1679	33.3%
1	29	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3358	66.7%
Other Punctuation	1679	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3329	99.1%
1	29	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	1679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3329	66.1%
.	1679	33.3%
1	29	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3329	66.1%
.	1679	33.3%
1	29	0.6%

nr_07
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	21
Missing (%)	1.2%
Memory size	13.4 KiB

0.0	1678
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5037
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1678	98.7%
1.0	1	0.1%
(Missing)	21	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1678	99.9%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3357	66.6%
.	1679	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3358	66.7%
Other Punctuation	1679	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3357	> 99.9%
1	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3357	66.6%
.	1679	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3357	66.6%
.	1679	33.3%
1	1	< 0.1%

nr_08
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	21
Missing (%)	1.2%
Memory size	13.4 KiB

0.0	1675
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5037
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1675	98.5%
1.0	4	0.2%
(Missing)	21	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1675	99.8%
1.0	4	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	3354	66.6%
.	1679	33.3%
1	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3358	66.7%
Other Punctuation	1679	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3354	99.9%
1	4	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5037	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3354	66.6%
.	1679	33.3%
1	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5037	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3354	66.6%
.	1679	33.3%
1	4	0.1%

np_01
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	18
Missing (%)	1.1%
Memory size	13.4 KiB

0.0	1680
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5046
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1680	98.8%
1.0	2	0.1%
(Missing)	18	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1680	99.9%
1.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3362	66.6%
.	1682	33.3%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3364	66.7%
Other Punctuation	1682	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3362	99.9%
1	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1682	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5046	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3362	66.6%
.	1682	33.3%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3362	66.6%
.	1682	33.3%
1	2	< 0.1%

np_04
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	18
Missing (%)	1.1%
Memory size	13.4 KiB

0.0	1679
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5046
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1679	98.8%
1.0	3	0.2%
(Missing)	18	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1679	99.8%
1.0	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	3361	66.6%
.	1682	33.3%
1	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3364	66.7%
Other Punctuation	1682	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3361	99.9%
1	3	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1682	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5046	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3361	66.6%
.	1682	33.3%
1	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3361	66.6%
.	1682	33.3%
1	3	0.1%

np_05
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	18
Missing (%)	1.1%
Memory size	13.4 KiB

0.0	1671
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5046
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1671	98.3%
1.0	11	0.6%
(Missing)	18	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1671	99.3%
1.0	11	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	3353	66.4%
.	1682	33.3%
1	11	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3364	66.7%
Other Punctuation	1682	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3353	99.7%
1	11	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	1682	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5046	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3353	66.4%
.	1682	33.3%
1	11	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3353	66.4%
.	1682	33.3%
1	11	0.2%

np_07
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	18
Missing (%)	1.1%
Memory size	13.4 KiB

0.0	1681
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5046
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1681	98.9%
1.0	1	0.1%
(Missing)	18	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1681	99.9%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3363	66.6%
.	1682	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3364	66.7%
Other Punctuation	1682	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3363	> 99.9%
1	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1682	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5046	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3363	66.6%
.	1682	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3363	66.6%
.	1682	33.3%
1	1	< 0.1%

np_08
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	18
Missing (%)	1.1%
Memory size	13.4 KiB

0.0	1676
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5046
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1676	98.6%
1.0	6	0.4%
(Missing)	18	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1676	99.6%
1.0	6	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	3358	66.5%
.	1682	33.3%
1	6	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3364	66.7%
Other Punctuation	1682	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3358	99.8%
1	6	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1682	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5046	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3358	66.5%
.	1682	33.3%
1	6	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3358	66.5%
.	1682	33.3%
1	6	0.1%

np_09
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	18
Missing (%)	1.1%
Memory size	13.4 KiB

0.0	1680
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5046
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1680	98.8%
1.0	2	0.1%
(Missing)	18	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1680	99.9%
1.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3362	66.6%
.	1682	33.3%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3364	66.7%
Other Punctuation	1682	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3362	99.9%
1	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1682	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5046	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3362	66.6%
.	1682	33.3%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3362	66.6%
.	1682	33.3%
1	2	< 0.1%

np_10
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	18
Missing (%)	1.1%
Memory size	13.4 KiB

0.0	1679
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5046
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1679	98.8%
1.0	3	0.2%
(Missing)	18	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1679	99.8%
1.0	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	3361	66.6%
.	1682	33.3%
1	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3364	66.7%
Other Punctuation	1682	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3361	99.9%
1	3	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1682	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5046	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3361	66.6%
.	1682	33.3%
1	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3361	66.6%
.	1682	33.3%
1	3	0.1%

endocr_01
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	11
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1461
1.0	228

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5067
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1461	85.9%
1.0	228	13.4%
(Missing)	11	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1461	86.5%
1.0	228	13.5%

Most occurring characters

Value	Count	Frequency (%)
0	3150	62.2%
.	1689	33.3%
1	228	4.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3378	66.7%
Other Punctuation	1689	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3150	93.3%
1	228	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	1689	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5067	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3150	62.2%
.	1689	33.3%
1	228	4.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5067	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3150	62.2%
.	1689	33.3%
1	228	4.5%

endocr_02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1648
1.0	42

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1648	96.9%
1.0	42	2.5%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1648	97.5%
1.0	42	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	3338	65.8%
.	1690	33.3%
1	42	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3338	98.8%
1	42	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3338	65.8%
.	1690	33.3%
1	42	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3338	65.8%
.	1690	33.3%
1	42	0.8%

endocr_03
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1677
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1677	98.6%
1.0	13	0.8%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1677	99.2%
1.0	13	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	3367	66.4%
.	1690	33.3%
1	13	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3367	99.6%
1	13	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3367	66.4%
.	1690	33.3%
1	13	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3367	66.4%
.	1690	33.3%
1	13	0.3%

zab_leg_01
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	7
Missing (%)	0.4%
Memory size	13.4 KiB

0.0	1559
1.0	134

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5079
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1559	91.7%
1.0	134	7.9%
(Missing)	7	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1559	92.1%
1.0	134	7.9%

Most occurring characters

Value	Count	Frequency (%)
0	3252	64.0%
.	1693	33.3%
1	134	2.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3386	66.7%
Other Punctuation	1693	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3252	96.0%
1	134	4.0%

Other Punctuation

Value	Count	Frequency (%)
.	1693	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5079	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3252	64.0%
.	1693	33.3%
1	134	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5079	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3252	64.0%
.	1693	33.3%
1	134	2.6%

zab_leg_02
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	7
Missing (%)	0.4%
Memory size	13.4 KiB

0.0	1572
1.0	121

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5079
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1572	92.5%
1.0	121	7.1%
(Missing)	7	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1572	92.9%
1.0	121	7.1%

Most occurring characters

Value	Count	Frequency (%)
0	3265	64.3%
.	1693	33.3%
1	121	2.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3386	66.7%
Other Punctuation	1693	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3265	96.4%
1	121	3.6%

Other Punctuation

Value	Count	Frequency (%)
.	1693	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5079	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3265	64.3%
.	1693	33.3%
1	121	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5079	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3265	64.3%
.	1693	33.3%
1	121	2.4%

zab_leg_03
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	7
Missing (%)	0.4%
Memory size	13.4 KiB

0.0	1656
1.0	37

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5079
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1656	97.4%
1.0	37	2.2%
(Missing)	7	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1656	97.8%
1.0	37	2.2%

Most occurring characters

Value	Count	Frequency (%)
0	3349	65.9%
.	1693	33.3%
1	37	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3386	66.7%
Other Punctuation	1693	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3349	98.9%
1	37	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	1693	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5079	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3349	65.9%
.	1693	33.3%
1	37	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5079	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3349	65.9%
.	1693	33.3%
1	37	0.7%

zab_leg_04
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	7
Missing (%)	0.4%
Memory size	13.4 KiB

0.0	1684
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5079
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1684	99.1%
1.0	9	0.5%
(Missing)	7	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1684	99.5%
1.0	9	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	3377	66.5%
.	1693	33.3%
1	9	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3386	66.7%
Other Punctuation	1693	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3377	99.7%
1	9	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	1693	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5079	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3377	66.5%
.	1693	33.3%
1	9	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5079	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3377	66.5%
.	1693	33.3%
1	9	0.2%

zab_leg_06
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	7
Missing (%)	0.4%
Memory size	13.4 KiB

0.0	1671
1.0	22

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5079
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1671	98.3%
1.0	22	1.3%
(Missing)	7	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1671	98.7%
1.0	22	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	3364	66.2%
.	1693	33.3%
1	22	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3386	66.7%
Other Punctuation	1693	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3364	99.4%
1	22	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	1693	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5079	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3364	66.2%
.	1693	33.3%
1	22	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5079	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3364	66.2%
.	1693	33.3%
1	22	0.4%

S_AD_KBRIG
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	30
Distinct (%)	4.8%
Missing	1076
Missing (%)	63.3%
Infinite	0
Infinite (%)	0.0%
Mean	136.9070513

Minimum	0
Maximum	260
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0
5-th percentile	80
Q1	120
median	140
Q3	160
95-th percentile	200
Maximum	260
Range	260
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	34.9978355
Coefficient of variation (CV)	0.2556320889
Kurtosis	0.7898039535
Mean	136.9070513
Median Absolute Deviation (MAD)	20
Skewness	0.09046464179
Sum	85430
Variance	1224.84849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
140	91	5.4%
130	77	4.5%
160	73	4.3%
120	65	3.8%
110	46	2.7%
150	44	2.6%
170	30	1.8%
180	29	1.7%
100	26	1.5%
80	24	1.4%
Other values (20)	119	7.0%
(Missing)	1076	63.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
40	3	0.2%
50	3	0.2%
60	8	0.5%
70	6	0.4%
80	24	1.4%
90	24	1.4%
100	26	1.5%
105	3	0.2%
110	46	2.7%

Value	Count	Frequency (%)
260	2	0.1%
240	2	0.1%
230	1	0.1%
220	8	0.5%
210	10	0.6%
200	12	0.7%
190	13	0.8%
185	1	0.1%
180	29	1.7%
170	30	1.8%

D_AD_KBRIG
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	21
Distinct (%)	3.4%
Missing	1076
Missing (%)	63.3%
Infinite	0
Infinite (%)	0.0%
Mean	81.39423077

Minimum	0
Maximum	190
Zeros	7
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	70
median	80
Q3	90
95-th percentile	110
Maximum	190
Range	190
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	19.74504506
Coefficient of variation (CV)	0.2425853144
Kurtosis	4.710598727
Mean	81.39423077
Median Absolute Deviation (MAD)	10
Skewness	-0.7458225405
Sum	50790
Variance	389.8668045
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
80	167	9.8%
90	154	9.1%
100	86	5.1%
70	78	4.6%
60	59	3.5%
120	16	0.9%
110	15	0.9%
40	11	0.6%
0	7	0.4%
85	6	0.4%
Other values (11)	25	1.5%
(Missing)	1076	63.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	0.4%
10	1	0.1%
20	4	0.2%
30	5	0.3%
40	11	0.6%
45	1	0.1%
50	6	0.4%
60	59	3.5%
65	2	0.1%
70	78	4.6%

Value	Count	Frequency (%)
190	1	0.1%
160	1	0.1%
140	1	0.1%
120	16	0.9%
110	15	0.9%
100	86	5.1%
95	1	0.1%
90	154	9.1%
85	6	0.4%
80	167	9.8%

S_AD_ORIT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	32
Distinct (%)	2.2%
Missing	267
Missing (%)	15.7%
Infinite	0
Infinite (%)	0.0%
Mean	134.5882763

Minimum	0
Maximum	260
Zeros	8
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0
5-th percentile	80
Q1	120
median	130
Q3	150
95-th percentile	190
Maximum	260
Range	260
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	31.34838794
Coefficient of variation (CV)	0.2329206436
Kurtosis	2.150612749
Mean	134.5882763
Median Absolute Deviation (MAD)	20
Skewness	-0.283034234
Sum	192865
Variance	982.7214267
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
130	242	14.2%
120	220	12.9%
140	218	12.8%
160	154	9.1%
110	123	7.2%
150	96	5.6%
180	68	4.0%
100	55	3.2%
170	54	3.2%
90	33	1.9%
Other values (22)	170	10.0%
(Missing)	267	15.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8	0.5%
20	1	0.1%
40	4	0.2%
50	3	0.2%
60	21	1.2%
70	12	0.7%
80	24	1.4%
90	33	1.9%
95	2	0.1%
100	55	3.2%

Value	Count	Frequency (%)
260	1	0.1%
240	2	0.1%
230	2	0.1%
220	8	0.5%
210	6	0.4%
200	28	1.6%
195	1	0.1%
190	25	1.5%
180	68	4.0%
170	54	3.2%

D_AD_ORIT
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	20
Distinct (%)	1.4%
Missing	267
Missing (%)	15.7%
Infinite	0
Infinite (%)	0.0%
Mean	82.74947662

Minimum	0
Maximum	190
Zeros	18
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0
5-th percentile	60
Q1	80
median	80
Q3	90
95-th percentile	110
Maximum	190
Range	190
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	18.32106318
Coefficient of variation (CV)	0.2214039766
Kurtosis	5.482849197
Mean	82.74947662
Median Absolute Deviation (MAD)	10
Skewness	-1.028342216
Sum	118580
Variance	335.6613562
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
80	502	29.5%
90	302	17.8%
100	201	11.8%
70	166	9.8%
60	84	4.9%
110	59	3.5%
40	28	1.6%
120	23	1.4%
0	18	1.1%
50	16	0.9%
Other values (10)	34	2.0%
(Missing)	267	15.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	18	1.1%
20	4	0.2%
30	1	0.1%
40	28	1.6%
50	16	0.9%
60	84	4.9%
65	1	0.1%
70	166	9.8%
75	3	0.2%
80	502	29.5%

Value	Count	Frequency (%)
190	1	0.1%
140	4	0.2%
130	8	0.5%
120	23	1.4%
110	59	3.5%
105	2	0.1%
100	201	11.8%
95	6	0.4%
90	302	17.8%
85	4	0.2%

O_L_POST
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	12
Missing (%)	0.7%
Memory size	13.4 KiB

0.0	1578
1.0	110

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5064
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1578	92.8%
1.0	110	6.5%
(Missing)	12	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1578	93.5%
1.0	110	6.5%

Most occurring characters

Value	Count	Frequency (%)
0	3266	64.5%
.	1688	33.3%
1	110	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3376	66.7%
Other Punctuation	1688	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3266	96.7%
1	110	3.3%

Other Punctuation

Value	Count	Frequency (%)
.	1688	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5064	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3266	64.5%
.	1688	33.3%
1	110	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5064	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3266	64.5%
.	1688	33.3%
1	110	2.2%

K_SH_POST
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	15
Missing (%)	0.9%
Memory size	13.4 KiB

0.0	1639
1.0	46

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5055
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1639	96.4%
1.0	46	2.7%
(Missing)	15	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1639	97.3%
1.0	46	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	3324	65.8%
.	1685	33.3%
1	46	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3370	66.7%
Other Punctuation	1685	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3324	98.6%
1	46	1.4%

Other Punctuation

Value	Count	Frequency (%)
.	1685	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5055	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3324	65.8%
.	1685	33.3%
1	46	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5055	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3324	65.8%
.	1685	33.3%
1	46	0.9%

MP_TP_POST
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	14
Missing (%)	0.8%
Memory size	13.4 KiB

0.0	1572
1.0	114

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5058
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1572	92.5%
1.0	114	6.7%
(Missing)	14	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1572	93.2%
1.0	114	6.8%

Most occurring characters

Value	Count	Frequency (%)
0	3258	64.4%
.	1686	33.3%
1	114	2.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3372	66.7%
Other Punctuation	1686	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3258	96.6%
1	114	3.4%

Other Punctuation

Value	Count	Frequency (%)
.	1686	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5058	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3258	64.4%
.	1686	33.3%
1	114	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5058	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3258	64.4%
.	1686	33.3%
1	114	2.3%

SVT_POST
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	12
Missing (%)	0.7%
Memory size	13.4 KiB

0.0	1680
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5064
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1680	98.8%
1.0	8	0.5%
(Missing)	12	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1680	99.5%
1.0	8	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	3368	66.5%
.	1688	33.3%
1	8	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3376	66.7%
Other Punctuation	1688	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3368	99.8%
1	8	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1688	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5064	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3368	66.5%
.	1688	33.3%
1	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5064	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3368	66.5%
.	1688	33.3%
1	8	0.2%

GT_POST
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	12
Missing (%)	0.7%
Memory size	13.4 KiB

0.0	1680
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5064
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1680	98.8%
1.0	8	0.5%
(Missing)	12	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1680	99.5%
1.0	8	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	3368	66.5%
.	1688	33.3%
1	8	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3376	66.7%
Other Punctuation	1688	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3368	99.8%
1	8	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1688	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5064	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3368	66.5%
.	1688	33.3%
1	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5064	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3368	66.5%
.	1688	33.3%
1	8	0.2%

FIB_G_POST
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	12
Missing (%)	0.7%
Memory size	13.4 KiB

0.0	1673
1.0	15

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5064
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1673	98.4%
1.0	15	0.9%
(Missing)	12	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1673	99.1%
1.0	15	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	3361	66.4%
.	1688	33.3%
1	15	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3376	66.7%
Other Punctuation	1688	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3361	99.6%
1	15	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	1688	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5064	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3361	66.4%
.	1688	33.3%
1	15	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5064	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3361	66.4%
.	1688	33.3%
1	15	0.3%

ant_im
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.3%
Missing	83
Missing (%)	4.9%
Memory size	13.4 KiB

0.0	660
4.0	492
1.0	392
2.0	39
3.0	34

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4851
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	4.0
3rd row	4.0
4th row	0.0
5th row	4.0

Common Values

Value	Count	Frequency (%)
0.0	660	38.8%
4.0	492	28.9%
1.0	392	23.1%
2.0	39	2.3%
3.0	34	2.0%
(Missing)	83	4.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	660	40.8%
4.0	492	30.4%
1.0	392	24.2%
2.0	39	2.4%
3.0	34	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	2277	46.9%
.	1617	33.3%
4	492	10.1%
1	392	8.1%
2	39	0.8%
3	34	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3234	66.7%
Other Punctuation	1617	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2277	70.4%
4	492	15.2%
1	392	12.1%
2	39	1.2%
3	34	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	1617	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4851	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2277	46.9%
.	1617	33.3%
4	492	10.1%
1	392	8.1%
2	39	0.8%
3	34	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4851	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2277	46.9%
.	1617	33.3%
4	492	10.1%
1	392	8.1%
2	39	0.8%
3	34	0.7%

lat_im
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.3%
Missing	80
Missing (%)	4.7%
Memory size	13.4 KiB

1.0	838
0.0	576
2.0	97
3.0	72
4.0	37

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4860
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	838	49.3%
0.0	576	33.9%
2.0	97	5.7%
3.0	72	4.2%
4.0	37	2.2%
(Missing)	80	4.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	838	51.7%
0.0	576	35.6%
2.0	97	6.0%
3.0	72	4.4%
4.0	37	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	2196	45.2%
.	1620	33.3%
1	838	17.2%
2	97	2.0%
3	72	1.5%
4	37	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3240	66.7%
Other Punctuation	1620	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2196	67.8%
1	838	25.9%
2	97	3.0%
3	72	2.2%
4	37	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	1620	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4860	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2196	45.2%
.	1620	33.3%
1	838	17.2%
2	97	2.0%
3	72	1.5%
4	37	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4860	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2196	45.2%
.	1620	33.3%
1	838	17.2%
2	97	2.0%
3	72	1.5%
4	37	0.8%

inf_im
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.3%
Missing	80
Missing (%)	4.7%
Memory size	13.4 KiB

0.0	937
1.0	195
2.0	191
4.0	176
3.0	121

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4860
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	937	55.1%
1.0	195	11.5%
2.0	191	11.2%
4.0	176	10.4%
3.0	121	7.1%
(Missing)	80	4.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	937	57.8%
1.0	195	12.0%
2.0	191	11.8%
4.0	176	10.9%
3.0	121	7.5%

Most occurring characters

Value	Count	Frequency (%)
0	2557	52.6%
.	1620	33.3%
1	195	4.0%
2	191	3.9%
4	176	3.6%
3	121	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3240	66.7%
Other Punctuation	1620	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2557	78.9%
1	195	6.0%
2	191	5.9%
4	176	5.4%
3	121	3.7%

Other Punctuation

Value	Count	Frequency (%)
.	1620	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4860	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2557	52.6%
.	1620	33.3%
1	195	4.0%
2	191	3.9%
4	176	3.6%
3	121	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4860	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2557	52.6%
.	1620	33.3%
1	195	4.0%
2	191	3.9%
4	176	3.6%
3	121	2.5%

post_im
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	0.3%
Missing	72
Missing (%)	4.2%
Memory size	13.4 KiB

0.0	1370
1.0	157
2.0	52
3.0	35
4.0	14

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4884
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1370	80.6%
1.0	157	9.2%
2.0	52	3.1%
3.0	35	2.1%
4.0	14	0.8%
(Missing)	72	4.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1370	84.2%
1.0	157	9.6%
2.0	52	3.2%
3.0	35	2.1%
4.0	14	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	2998	61.4%
.	1628	33.3%
1	157	3.2%
2	52	1.1%
3	35	0.7%
4	14	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3256	66.7%
Other Punctuation	1628	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2998	92.1%
1	157	4.8%
2	52	1.6%
3	35	1.1%
4	14	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	1628	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4884	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2998	61.4%
.	1628	33.3%
1	157	3.2%
2	52	1.1%
3	35	0.7%
4	14	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4884	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2998	61.4%
.	1628	33.3%
1	157	3.2%
2	52	1.1%
3	35	0.7%
4	14	0.3%

IM_PG_P
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	1
Missing (%)	0.1%
Memory size	13.4 KiB

0.0	1649
1.0	50

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5097
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1649	97.0%
1.0	50	2.9%
(Missing)	1	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1649	97.1%
1.0	50	2.9%

Most occurring characters

Value	Count	Frequency (%)
0	3348	65.7%
.	1699	33.3%
1	50	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3398	66.7%
Other Punctuation	1699	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3348	98.5%
1	50	1.5%

Other Punctuation

Value	Count	Frequency (%)
.	1699	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5097	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3348	65.7%
.	1699	33.3%
1	50	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5097	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3348	65.7%
.	1699	33.3%
1	50	1.0%

ritm_ecg_p_01
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	152
Missing (%)	8.9%
Memory size	13.4 KiB

1.0	1029
0.0	519

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4644
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	1029	60.5%
0.0	519	30.5%
(Missing)	152	8.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	1029	66.5%
0.0	519	33.5%

Most occurring characters

Value	Count	Frequency (%)
0	2067	44.5%
.	1548	33.3%
1	1029	22.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3096	66.7%
Other Punctuation	1548	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2067	66.8%
1	1029	33.2%

Other Punctuation

Value	Count	Frequency (%)
.	1548	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2067	44.5%
.	1548	33.3%
1	1029	22.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2067	44.5%
.	1548	33.3%
1	1029	22.2%

ritm_ecg_p_02
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	152
Missing (%)	8.9%
Memory size	13.4 KiB

0.0	1453
1.0	95

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4644
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1453	85.5%
1.0	95	5.6%
(Missing)	152	8.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1453	93.9%
1.0	95	6.1%

Most occurring characters

Value	Count	Frequency (%)
0	3001	64.6%
.	1548	33.3%
1	95	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3096	66.7%
Other Punctuation	1548	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3001	96.9%
1	95	3.1%

Other Punctuation

Value	Count	Frequency (%)
.	1548	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3001	64.6%
.	1548	33.3%
1	95	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3001	64.6%
.	1548	33.3%
1	95	2.0%

ritm_ecg_p_04
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	152
Missing (%)	8.9%
Memory size	13.4 KiB

0.0	1525
1.0	23

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4644
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1525	89.7%
1.0	23	1.4%
(Missing)	152	8.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1525	98.5%
1.0	23	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	3073	66.2%
.	1548	33.3%
1	23	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3096	66.7%
Other Punctuation	1548	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3073	99.3%
1	23	0.7%

Other Punctuation

Value	Count	Frequency (%)
.	1548	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3073	66.2%
.	1548	33.3%
1	23	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3073	66.2%
.	1548	33.3%
1	23	0.5%

ritm_ecg_p_06
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	152
Missing (%)	8.9%
Memory size	13.4 KiB

0.0	1547
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4644
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1547	91.0%
1.0	1	0.1%
(Missing)	152	8.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1547	99.9%
1.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3095	66.6%
.	1548	33.3%
1	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3096	66.7%
Other Punctuation	1548	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3095	> 99.9%
1	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1548	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3095	66.6%
.	1548	33.3%
1	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3095	66.6%
.	1548	33.3%
1	1	< 0.1%

ritm_ecg_p_07
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	152
Missing (%)	8.9%
Memory size	13.4 KiB

0.0	1195
1.0	353

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4644
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	1195	70.3%
1.0	353	20.8%
(Missing)	152	8.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1195	77.2%
1.0	353	22.8%

Most occurring characters

Value	Count	Frequency (%)
0	2743	59.1%
.	1548	33.3%
1	353	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3096	66.7%
Other Punctuation	1548	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2743	88.6%
1	353	11.4%

Other Punctuation

Value	Count	Frequency (%)
.	1548	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2743	59.1%
.	1548	33.3%
1	353	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2743	59.1%
.	1548	33.3%
1	353	7.6%

ritm_ecg_p_08
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	152
Missing (%)	8.9%
Memory size	13.4 KiB

0.0	1502
1.0	46

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4644
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1502	88.4%
1.0	46	2.7%
(Missing)	152	8.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1502	97.0%
1.0	46	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	3050	65.7%
.	1548	33.3%
1	46	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3096	66.7%
Other Punctuation	1548	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3050	98.5%
1	46	1.5%

Other Punctuation

Value	Count	Frequency (%)
.	1548	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4644	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3050	65.7%
.	1548	33.3%
1	46	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4644	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3050	65.7%
.	1548	33.3%
1	46	1.0%

n_r_ecg_p_01
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1527
1.0	58

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1527	89.8%
1.0	58	3.4%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1527	96.3%
1.0	58	3.7%

Most occurring characters

Value	Count	Frequency (%)
0	3112	65.4%
.	1585	33.3%
1	58	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3112	98.2%
1	58	1.8%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3112	65.4%
.	1585	33.3%
1	58	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3112	65.4%
.	1585	33.3%
1	58	1.2%

n_r_ecg_p_02
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1577
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1577	92.8%
1.0	8	0.5%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1577	99.5%
1.0	8	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	3162	66.5%
.	1585	33.3%
1	8	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3162	99.7%
1	8	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3162	66.5%
.	1585	33.3%
1	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3162	66.5%
.	1585	33.3%
1	8	0.2%

n_r_ecg_p_03
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1381
1.0	204

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1381	81.2%
1.0	204	12.0%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1381	87.1%
1.0	204	12.9%

Most occurring characters

Value	Count	Frequency (%)
0	2966	62.4%
.	1585	33.3%
1	204	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2966	93.6%
1	204	6.4%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2966	62.4%
.	1585	33.3%
1	204	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2966	62.4%
.	1585	33.3%
1	204	4.3%

n_r_ecg_p_04
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1516
1.0	69

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1516	89.2%
1.0	69	4.1%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1516	95.6%
1.0	69	4.4%

Most occurring characters

Value	Count	Frequency (%)
0	3101	65.2%
.	1585	33.3%
1	69	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3101	97.8%
1	69	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3101	65.2%
.	1585	33.3%
1	69	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3101	65.2%
.	1585	33.3%
1	69	1.5%

n_r_ecg_p_05
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1515
1.0	70

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1515	89.1%
1.0	70	4.1%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1515	95.6%
1.0	70	4.4%

Most occurring characters

Value	Count	Frequency (%)
0	3100	65.2%
.	1585	33.3%
1	70	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3100	97.8%
1	70	2.2%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3100	65.2%
.	1585	33.3%
1	70	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3100	65.2%
.	1585	33.3%
1	70	1.5%

n_r_ecg_p_06
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1553
1.0	32

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1553	91.4%
1.0	32	1.9%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1553	98.0%
1.0	32	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	3138	66.0%
.	1585	33.3%
1	32	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3138	99.0%
1	32	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3138	66.0%
.	1585	33.3%
1	32	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3138	66.0%
.	1585	33.3%
1	32	0.7%

n_r_ecg_p_08
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1581
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1581	93.0%
1.0	4	0.2%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1581	99.7%
1.0	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	3166	66.6%
.	1585	33.3%
1	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3166	99.9%
1	4	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3166	66.6%
.	1585	33.3%
1	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3166	66.6%
.	1585	33.3%
1	4	0.1%

n_r_ecg_p_09
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1583
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1583	93.1%
1.0	2	0.1%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1583	99.9%
1.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3168	99.9%
1	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

n_r_ecg_p_10
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1583
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1583	93.1%
1.0	2	0.1%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1583	99.9%
1.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3168	99.9%
1	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

n_p_ecg_p_01
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1583
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1583	93.1%
1.0	2	0.1%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1583	99.9%
1.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3168	99.9%
1	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

n_p_ecg_p_03
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1553
1.0	32

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1553	91.4%
1.0	32	1.9%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1553	98.0%
1.0	32	2.0%

Most occurring characters

Value	Count	Frequency (%)
0	3138	66.0%
.	1585	33.3%
1	32	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3138	99.0%
1	32	1.0%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3138	66.0%
.	1585	33.3%
1	32	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3138	66.0%
.	1585	33.3%
1	32	0.7%

n_p_ecg_p_04
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1580
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1580	92.9%
1.0	5	0.3%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1580	99.7%
1.0	5	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	3165	66.6%
.	1585	33.3%
1	5	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3165	99.8%
1	5	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3165	66.6%
.	1585	33.3%
1	5	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3165	66.6%
.	1585	33.3%
1	5	0.1%

n_p_ecg_p_05
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1583
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1583	93.1%
1.0	2	0.1%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1583	99.9%
1.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3168	99.9%
1	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3168	66.6%
.	1585	33.3%
1	2	< 0.1%

n_p_ecg_p_06
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1558
1.0	27

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1558	91.6%
1.0	27	1.6%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1558	98.3%
1.0	27	1.7%

Most occurring characters

Value	Count	Frequency (%)
0	3143	66.1%
.	1585	33.3%
1	27	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3143	99.1%
1	27	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3143	66.1%
.	1585	33.3%
1	27	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3143	66.1%
.	1585	33.3%
1	27	0.6%

n_p_ecg_p_07
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1483
1.0	102

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1483	87.2%
1.0	102	6.0%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1483	93.6%
1.0	102	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	3068	64.5%
.	1585	33.3%
1	102	2.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3068	96.8%
1	102	3.2%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3068	64.5%
.	1585	33.3%
1	102	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3068	64.5%
.	1585	33.3%
1	102	2.1%

n_p_ecg_p_08
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1578
1.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1578	92.8%
1.0	7	0.4%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1578	99.6%
1.0	7	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	3163	66.5%
.	1585	33.3%
1	7	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3163	99.8%
1	7	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3163	66.5%
.	1585	33.3%
1	7	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3163	66.5%
.	1585	33.3%
1	7	0.1%

n_p_ecg_p_09
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1575
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1575	92.6%
1.0	10	0.6%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1575	99.4%
1.0	10	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	3160	66.5%
.	1585	33.3%
1	10	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3160	99.7%
1	10	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3160	66.5%
.	1585	33.3%
1	10	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3160	66.5%
.	1585	33.3%
1	10	0.2%

n_p_ecg_p_10
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1551
1.0	34

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1551	91.2%
1.0	34	2.0%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1551	97.9%
1.0	34	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	3136	66.0%
.	1585	33.3%
1	34	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3136	98.9%
1	34	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3136	66.0%
.	1585	33.3%
1	34	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3136	66.0%
.	1585	33.3%
1	34	0.7%

n_p_ecg_p_11
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1557
1.0	28

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1557	91.6%
1.0	28	1.6%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1557	98.2%
1.0	28	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	3142	66.1%
.	1585	33.3%
1	28	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3142	99.1%
1	28	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3142	66.1%
.	1585	33.3%
1	28	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3142	66.1%
.	1585	33.3%
1	28	0.6%

n_p_ecg_p_12
Categorical

MISSING

Distinct	2
Distinct (%)	0.1%
Missing	115
Missing (%)	6.8%
Memory size	13.4 KiB

0.0	1507
1.0	78

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4755
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1507	88.6%
1.0	78	4.6%
(Missing)	115	6.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1507	95.1%
1.0	78	4.9%

Most occurring characters

Value	Count	Frequency (%)
0	3092	65.0%
.	1585	33.3%
1	78	1.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3170	66.7%
Other Punctuation	1585	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3092	97.5%
1	78	2.5%

Other Punctuation

Value	Count	Frequency (%)
.	1585	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4755	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3092	65.0%
.	1585	33.3%
1	78	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3092	65.0%
.	1585	33.3%
1	78	1.6%

fibr_ter_01
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1677
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1677	98.6%
1.0	13	0.8%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1677	99.2%
1.0	13	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	3367	66.4%
.	1690	33.3%
1	13	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3367	99.6%
1	13	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3367	66.4%
.	1690	33.3%
1	13	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3367	66.4%
.	1690	33.3%
1	13	0.3%

fibr_ter_02
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1674
1.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1674	98.5%
1.0	16	0.9%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1674	99.1%
1.0	16	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	3364	66.4%
.	1690	33.3%
1	16	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3364	99.5%
1	16	0.5%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3364	66.4%
.	1690	33.3%
1	16	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3364	66.4%
.	1690	33.3%
1	16	0.3%

fibr_ter_03
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1622
1.0	68

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1622	95.4%
1.0	68	4.0%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1622	96.0%
1.0	68	4.0%

Most occurring characters

Value	Count	Frequency (%)
0	3312	65.3%
.	1690	33.3%
1	68	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3312	98.0%
1	68	2.0%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3312	65.3%
.	1690	33.3%
1	68	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3312	65.3%
.	1690	33.3%
1	68	1.3%

fibr_ter_05
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1686
1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1686	99.2%
1.0	4	0.2%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1686	99.8%
1.0	4	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	3376	66.6%
.	1690	33.3%
1	4	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3376	99.9%
1	4	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3376	66.6%
.	1690	33.3%
1	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3376	66.6%
.	1690	33.3%
1	4	0.1%

fibr_ter_06
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1681
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1681	98.9%
1.0	9	0.5%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1681	99.5%
1.0	9	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	3371	66.5%
.	1690	33.3%
1	9	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3371	99.7%
1	9	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3371	66.5%
.	1690	33.3%
1	9	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3371	66.5%
.	1690	33.3%
1	9	0.2%

fibr_ter_07
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1684
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1684	99.1%
1.0	6	0.4%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1684	99.6%
1.0	6	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	3374	66.5%
.	1690	33.3%
1	6	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3374	99.8%
1	6	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3374	66.5%
.	1690	33.3%
1	6	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3374	66.5%
.	1690	33.3%
1	6	0.1%

fibr_ter_08
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1688
1.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1688	99.3%
1.0	2	0.1%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1688	99.9%
1.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3378	66.6%
.	1690	33.3%
1	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3378	99.9%
1	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3378	66.6%
.	1690	33.3%
1	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3378	66.6%
.	1690	33.3%
1	2	< 0.1%

GIPO_K
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	369
Missing (%)	21.7%
Memory size	13.4 KiB

0.0	797
1.0	534

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3993
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	797	46.9%
1.0	534	31.4%
(Missing)	369	21.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	797	59.9%
1.0	534	40.1%

Most occurring characters

Value	Count	Frequency (%)
0	2128	53.3%
.	1331	33.3%
1	534	13.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2662	66.7%
Other Punctuation	1331	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2128	79.9%
1	534	20.1%

Other Punctuation

Value	Count	Frequency (%)
.	1331	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3993	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2128	53.3%
.	1331	33.3%
1	534	13.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3993	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2128	53.3%
.	1331	33.3%
1	534	13.4%

K_BLOOD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	51
Distinct (%)	3.8%
Missing	371
Missing (%)	21.8%
Infinite	0
Infinite (%)	0.0%
Mean	4.191422122

Minimum	2.3
Maximum	8.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	2.3
5-th percentile	3.1
Q1	3.7
median	4.1
Q3	4.6
95-th percentile	5.5
Maximum	8.2
Range	5.9
Interquartile range (IQR)	0.9

Descriptive statistics

Standard deviation	0.754076378
Coefficient of variation (CV)	0.1799094331
Kurtosis	2.433997636
Mean	4.191422122
Median Absolute Deviation (MAD)	0.5
Skewness	0.9556884439
Sum	5570.4
Variance	0.5686311839
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	101	5.9%
3.8	91	5.4%
4.2	87	5.1%
3.9	79	4.6%
3.5	71	4.2%
4.5	62	3.6%
4.1	62	3.6%
4.3	60	3.5%
3.6	58	3.4%
3.7	57	3.4%
Other values (41)	601	35.4%
(Missing)	371	21.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.3	4	0.2%
2.4	3	0.2%
2.5	1	0.1%
2.7	4	0.2%
2.8	4	0.2%
2.9	7	0.4%
3	23	1.4%
3.1	30	1.8%
3.2	30	1.8%
3.3	34	2.0%

Value	Count	Frequency (%)
8.2	1	0.1%
8	1	0.1%
7.8	1	0.1%
7.7	1	0.1%
7.6	1	0.1%
7.3	1	0.1%
7.2	1	0.1%
6.9	2	0.1%
6.8	2	0.1%
6.7	2	0.1%

GIPER_NA
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	375
Missing (%)	22.1%
Memory size	13.4 KiB

0.0	1295
1.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3975
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1295	76.2%
1.0	30	1.8%
(Missing)	375	22.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1295	97.7%
1.0	30	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	2620	65.9%
.	1325	33.3%
1	30	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2650	66.7%
Other Punctuation	1325	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2620	98.9%
1	30	1.1%

Other Punctuation

Value	Count	Frequency (%)
.	1325	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3975	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2620	65.9%
.	1325	33.3%
1	30	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3975	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2620	65.9%
.	1325	33.3%
1	30	0.8%

NA_BLOOD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	40
Distinct (%)	3.0%
Missing	375
Missing (%)	22.1%
Infinite	0
Infinite (%)	0.0%
Mean	136.5509434

Minimum	117
Maximum	169
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	117
5-th percentile	126
Q1	133
median	136
Q3	140
95-th percentile	146
Maximum	169
Range	52
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.512120429
Coefficient of variation (CV)	0.04769004349
Kurtosis	1.203354919
Mean	136.5509434
Median Absolute Deviation (MAD)	4
Skewness	0.122988012
Sum	180930
Variance	42.40771248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
136	214	12.6%
140	186	10.9%
130	125	7.4%
133	81	4.8%
138	80	4.7%
143	63	3.7%
146	61	3.6%
134	57	3.4%
132	56	3.3%
139	48	2.8%
Other values (30)	354	20.8%
(Missing)	375	22.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
117	6	0.4%
118	1	0.1%
120	11	0.6%
121	5	0.3%
122	5	0.3%
123	15	0.9%
124	10	0.6%
125	13	0.8%
126	10	0.6%
127	24	1.4%

Value	Count	Frequency (%)
169	1	0.1%
163	1	0.1%
159	4	0.2%
156	4	0.2%
154	2	0.1%
153	14	0.8%
151	1	0.1%
150	18	1.1%
149	2	0.1%
148	2	0.1%

ALT_BLOOD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	69
Distinct (%)	4.9%
Missing	284
Missing (%)	16.7%
Infinite	0
Infinite (%)	0.0%
Mean	0.4814548023

Minimum	0.03
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0.03
5-th percentile	0.15
Q1	0.23
median	0.38
Q3	0.61
95-th percentile	1.28
Maximum	3
Range	2.97
Interquartile range (IQR)	0.38

Descriptive statistics

Standard deviation	0.3872611112
Coefficient of variation (CV)	0.8043561086
Kurtosis	6.966396053
Mean	0.4814548023
Median Absolute Deviation (MAD)	0.15
Skewness	2.269563589
Sum	681.74
Variance	0.1499711683
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.15	230	13.5%
0.3	210	12.4%
0.45	178	10.5%
0.23	144	8.5%
0.38	126	7.4%
0.61	76	4.5%
0.75	73	4.3%
0.52	67	3.9%
0.9	35	2.1%
0.68	28	1.6%
Other values (59)	249	14.6%
(Missing)	284	16.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.03	1	0.1%
0.04	1	0.1%
0.05	1	0.1%
0.07	23	1.4%
0.08	1	0.1%
0.09	1	0.1%
0.11	3	0.2%
0.14	9	0.5%
0.15	230	13.5%
0.18	4	0.2%

Value	Count	Frequency (%)
3	1	0.1%
2.86	1	0.1%
2.72	1	0.1%
2.56	1	0.1%
2.4	2	0.1%
2.26	3	0.2%
2.12	1	0.1%
2.1	4	0.2%
1.96	5	0.3%
1.89	2	0.1%

AST_BLOOD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	58
Distinct (%)	4.1%
Missing	285
Missing (%)	16.8%
Infinite	0
Infinite (%)	0.0%
Mean	0.2637173145

Minimum	0.04
Maximum	2.15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0.04
5-th percentile	0.07
Q1	0.15
median	0.22
Q3	0.33
95-th percentile	0.67
Maximum	2.15
Range	2.11
Interquartile range (IQR)	0.18

Descriptive statistics

Standard deviation	0.201801727
Coefficient of variation (CV)	0.7652198619
Kurtosis	11.41787463
Mean	0.2637173145
Median Absolute Deviation (MAD)	0.08
Skewness	2.559230591
Sum	373.16
Variance	0.04072393701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.15	271	15.9%
0.22	169	9.9%
0.07	149	8.8%
0.3	145	8.5%
0.11	113	6.6%
0.18	108	6.4%
0.37	81	4.8%
0.45	62	3.6%
0.26	55	3.2%
0.52	33	1.9%
Other values (48)	229	13.5%
(Missing)	285	16.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.04	17	1.0%
0.07	149	8.8%
0.08	4	0.2%
0.1	2	0.1%
0.11	113	6.6%
0.12	1	0.1%
0.13	1	0.1%
0.14	5	0.3%
0.15	271	15.9%
0.18	108	6.4%

Value	Count	Frequency (%)
2.15	1	0.1%
1.75	1	0.1%
1.36	1	0.1%
1.34	3	0.2%
1.2	1	0.1%
1.13	1	0.1%
1.12	2	0.1%
1.08	1	0.1%
1.05	2	0.1%
1.04	3	0.2%

KFK_BLOOD
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	4
Distinct (%)	100.0%
Missing	1696
Missing (%)	99.8%
Memory size	13.4 KiB

1.8	1
1.2	1
3.6	1
1.4	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	100.0%

Sample

1st row	1.8
2nd row	1.4
3rd row	1.2
4th row	3.6

Common Values

Value	Count	Frequency (%)
1.8	1	0.1%
1.2	1	0.1%
3.6	1	0.1%
1.4	1	0.1%
(Missing)	1696	99.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.2	1	25.0%
1.8	1	25.0%
1.4	1	25.0%
3.6	1	25.0%

Most occurring characters

Value	Count	Frequency (%)
.	4	33.3%
1	3	25.0%
8	1	8.3%
4	1	8.3%
2	1	8.3%
3	1	8.3%
6	1	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8	66.7%
Other Punctuation	4	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3	37.5%
8	1	12.5%
4	1	12.5%
2	1	12.5%
3	1	12.5%
6	1	12.5%

Other Punctuation

Value	Count	Frequency (%)
.	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	4	33.3%
1	3	25.0%
8	1	8.3%
4	1	8.3%
2	1	8.3%
3	1	8.3%
6	1	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	4	33.3%
1	3	25.0%
8	1	8.3%
4	1	8.3%
2	1	8.3%
3	1	8.3%
6	1	8.3%

L_BLOOD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	174
Distinct (%)	11.0%
Missing	125
Missing (%)	7.4%
Infinite	0
Infinite (%)	0.0%
Mean	8.782914286

Minimum	2
Maximum	27.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	2
5-th percentile	4.7
Q1	6.4
median	8
Q3	10.45
95-th percentile	15.5
Maximum	27.9
Range	25.9
Interquartile range (IQR)	4.05

Descriptive statistics

Standard deviation	3.400557014
Coefficient of variation (CV)	0.3871786634
Kurtosis	2.671155811
Mean	8.782914286
Median Absolute Deviation (MAD)	1.9
Skewness	1.341661012
Sum	13833.09
Variance	11.56378801
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.9	32	1.9%
7	30	1.8%
8	30	1.8%
6.8	29	1.7%
7.4	29	1.7%
7.2	28	1.6%
9	27	1.6%
7.7	26	1.5%
5	25	1.5%
7.5	25	1.5%
Other values (164)	1294	76.1%
(Missing)	125	7.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	0.1%
2.1	1	0.1%
2.9	1	0.1%
3.2	2	0.1%
3.4	1	0.1%
3.5	1	0.1%
3.6	1	0.1%
3.7	1	0.1%
3.8	2	0.1%
3.9	3	0.2%

Value	Count	Frequency (%)
27.9	1	0.1%
25	1	0.1%
24.9	1	0.1%
23.5	1	0.1%
23.1	1	0.1%
22.9	1	0.1%
22.6	1	0.1%
22.4	1	0.1%
22.1	1	0.1%
22	1	0.1%

ROE
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	58
Distinct (%)	3.9%
Missing	203
Missing (%)	11.9%
Infinite	0
Infinite (%)	0.0%
Mean	13.44488978

Minimum	1
Maximum	140
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	10
Q3	18
95-th percentile	35.2
Maximum	140
Range	139
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	11.29631593
Coefficient of variation (CV)	0.8401940154
Kurtosis	12.23825073
Mean	13.44488978
Median Absolute Deviation (MAD)	5
Skewness	2.290275216
Sum	20127
Variance	127.6067536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	134	7.9%
3	126	7.4%
10	104	6.1%
4	98	5.8%
7	91	5.4%
8	83	4.9%
6	79	4.6%
12	64	3.8%
15	63	3.7%
9	52	3.1%
Other values (48)	603	35.5%
(Missing)	203	11.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	0.1%
2	42	2.5%
3	126	7.4%
4	98	5.8%
5	134	7.9%
6	79	4.6%
7	91	5.4%
8	83	4.9%
9	52	3.1%
10	104	6.1%

Value	Count	Frequency (%)
140	1	0.1%
68	1	0.1%
65	1	0.1%
61	1	0.1%
60	1	0.1%
59	1	0.1%
57	2	0.1%
55	2	0.1%
53	2	0.1%
51	2	0.1%

TIME_B_S
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	0.6%
Missing	126
Missing (%)	7.4%
Infinite	0
Infinite (%)	0.0%
Mean	4.684243964

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	7
95-th percentile	9
Maximum	9
Range	8
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.871043728
Coefficient of variation (CV)	0.6129150722
Kurtosis	-1.440660597
Mean	4.684243964
Median Absolute Deviation (MAD)	2
Skewness	0.2602257892
Sum	7373
Variance	8.242892085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	360	21.2%
9	269	15.8%
1	198	11.6%
3	175	10.3%
6	151	8.9%
7	141	8.3%
8	101	5.9%
5	92	5.4%
4	87	5.1%
(Missing)	126	7.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	198	11.6%
2	360	21.2%
3	175	10.3%
4	87	5.1%
5	92	5.4%
6	151	8.9%
7	141	8.3%
8	101	5.9%
9	269	15.8%

Value	Count	Frequency (%)
9	269	15.8%
8	101	5.9%
7	141	8.3%
6	151	8.9%
5	92	5.4%
4	87	5.1%
3	175	10.3%
2	360	21.2%
1	198	11.6%

R_AB_1_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	16
Missing (%)	0.9%
Memory size	13.4 KiB

0.0	1282
1.0	298
2.0	78
3.0	26

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5052
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	3.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1282	75.4%
1.0	298	17.5%
2.0	78	4.6%
3.0	26	1.5%
(Missing)	16	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1282	76.1%
1.0	298	17.7%
2.0	78	4.6%
3.0	26	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	2966	58.7%
.	1684	33.3%
1	298	5.9%
2	78	1.5%
3	26	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3368	66.7%
Other Punctuation	1684	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2966	88.1%
1	298	8.8%
2	78	2.3%
3	26	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	1684	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5052	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2966	58.7%
.	1684	33.3%
1	298	5.9%
2	78	1.5%
3	26	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5052	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2966	58.7%
.	1684	33.3%
1	298	5.9%
2	78	1.5%
3	26	0.5%

R_AB_2_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	108
Missing (%)	6.4%
Memory size	13.4 KiB

0.0	1414
1.0	133
2.0	44
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4776
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1414	83.2%
1.0	133	7.8%
2.0	44	2.6%
3.0	1	0.1%
(Missing)	108	6.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1414	88.8%
1.0	133	8.4%
2.0	44	2.8%
3.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3006	62.9%
.	1592	33.3%
1	133	2.8%
2	44	0.9%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3184	66.7%
Other Punctuation	1592	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3006	94.4%
1	133	4.2%
2	44	1.4%
3	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1592	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4776	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3006	62.9%
.	1592	33.3%
1	133	2.8%
2	44	0.9%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4776	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3006	62.9%
.	1592	33.3%
1	133	2.8%
2	44	0.9%
3	1	< 0.1%

R_AB_3_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	128
Missing (%)	7.5%
Memory size	13.4 KiB

0.0	1469
1.0	86
2.0	15
3.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4716
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1469	86.4%
1.0	86	5.1%
2.0	15	0.9%
3.0	2	0.1%
(Missing)	128	7.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1469	93.4%
1.0	86	5.5%
2.0	15	1.0%
3.0	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3041	64.5%
.	1572	33.3%
1	86	1.8%
2	15	0.3%
3	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3144	66.7%
Other Punctuation	1572	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3041	96.7%
1	86	2.7%
2	15	0.5%
3	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1572	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4716	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3041	64.5%
.	1572	33.3%
1	86	1.8%
2	15	0.3%
3	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4716	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3041	64.5%
.	1572	33.3%
1	86	1.8%
2	15	0.3%
3	2	< 0.1%

NA_KB
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	657
Missing (%)	38.6%
Memory size	13.4 KiB

1.0	618
0.0	425

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3129
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	618	36.4%
0.0	425	25.0%
(Missing)	657	38.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	618	59.3%
0.0	425	40.7%

Most occurring characters

Value	Count	Frequency (%)
0	1468	46.9%
.	1043	33.3%
1	618	19.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2086	66.7%
Other Punctuation	1043	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1468	70.4%
1	618	29.6%

Other Punctuation

Value	Count	Frequency (%)
.	1043	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3129	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1468	46.9%
.	1043	33.3%
1	618	19.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3129	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1468	46.9%
.	1043	33.3%
1	618	19.8%

NOT_NA_KB
Categorical

MISSING

Distinct	2
Distinct (%)	0.2%
Missing	686
Missing (%)	40.4%
Memory size	13.4 KiB

1.0	701
0.0	313

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3042
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	701	41.2%
0.0	313	18.4%
(Missing)	686	40.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	701	69.1%
0.0	313	30.9%

Most occurring characters

Value	Count	Frequency (%)
0	1327	43.6%
.	1014	33.3%
1	701	23.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2028	66.7%
Other Punctuation	1014	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1327	65.4%
1	701	34.6%

Other Punctuation

Value	Count	Frequency (%)
.	1014	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3042	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1327	43.6%
.	1014	33.3%
1	701	23.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3042	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1327	43.6%
.	1014	33.3%
1	701	23.0%

LID_KB
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	0.2%
Missing	677
Missing (%)	39.8%
Memory size	13.4 KiB

0.0	627
1.0	396

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3069
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	627	36.9%
1.0	396	23.3%
(Missing)	677	39.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	627	61.3%
1.0	396	38.7%

Most occurring characters

Value	Count	Frequency (%)
0	1650	53.8%
.	1023	33.3%
1	396	12.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2046	66.7%
Other Punctuation	1023	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1650	80.6%
1	396	19.4%

Other Punctuation

Value	Count	Frequency (%)
.	1023	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3069	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1650	53.8%
.	1023	33.3%
1	396	12.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3069	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1650	53.8%
.	1023	33.3%
1	396	12.9%

NITR_S
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	9
Missing (%)	0.5%
Memory size	13.4 KiB

0.0	1496
1.0	195

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5073
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1496	88.0%
1.0	195	11.5%
(Missing)	9	0.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1496	88.5%
1.0	195	11.5%

Most occurring characters

Value	Count	Frequency (%)
0	3187	62.8%
.	1691	33.3%
1	195	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3382	66.7%
Other Punctuation	1691	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3187	94.2%
1	195	5.8%

Other Punctuation

Value	Count	Frequency (%)
.	1691	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5073	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3187	62.8%
.	1691	33.3%
1	195	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5073	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3187	62.8%
.	1691	33.3%
1	195	3.8%

NA_R_1_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.3%
Missing	5
Missing (%)	0.3%
Memory size	13.4 KiB

0.0	1108
1.0	409
2.0	132
3.0	35
4.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5085
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1108	65.2%
1.0	409	24.1%
2.0	132	7.8%
3.0	35	2.1%
4.0	11	0.6%
(Missing)	5	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1108	65.4%
1.0	409	24.1%
2.0	132	7.8%
3.0	35	2.1%
4.0	11	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	2803	55.1%
.	1695	33.3%
1	409	8.0%
2	132	2.6%
3	35	0.7%
4	11	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3390	66.7%
Other Punctuation	1695	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2803	82.7%
1	409	12.1%
2	132	3.9%
3	35	1.0%
4	11	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	1695	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5085	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2803	55.1%
.	1695	33.3%
1	409	8.0%
2	132	2.6%
3	35	0.7%
4	11	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5085	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2803	55.1%
.	1695	33.3%
1	409	8.0%
2	132	2.6%
3	35	0.7%
4	11	0.2%

NA_R_2_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	108
Missing (%)	6.4%
Memory size	13.4 KiB

0.0	1474
1.0	87
2.0	30
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4776
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1474	86.7%
1.0	87	5.1%
2.0	30	1.8%
3.0	1	0.1%
(Missing)	108	6.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1474	92.6%
1.0	87	5.5%
2.0	30	1.9%
3.0	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	3066	64.2%
.	1592	33.3%
1	87	1.8%
2	30	0.6%
3	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3184	66.7%
Other Punctuation	1592	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3066	96.3%
1	87	2.7%
2	30	0.9%
3	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1592	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4776	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3066	64.2%
.	1592	33.3%
1	87	1.8%
2	30	0.6%
3	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4776	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3066	64.2%
.	1592	33.3%
1	87	1.8%
2	30	0.6%
3	1	< 0.1%

NA_R_3_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.2%
Missing	131
Missing (%)	7.7%
Memory size	13.4 KiB

0.0	1493
1.0	60
2.0	16

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4707
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1493	87.8%
1.0	60	3.5%
2.0	16	0.9%
(Missing)	131	7.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1493	95.2%
1.0	60	3.8%
2.0	16	1.0%

Most occurring characters

Value	Count	Frequency (%)
0	3062	65.1%
.	1569	33.3%
1	60	1.3%
2	16	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3138	66.7%
Other Punctuation	1569	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3062	97.6%
1	60	1.9%
2	16	0.5%

Other Punctuation

Value	Count	Frequency (%)
.	1569	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4707	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3062	65.1%
.	1569	33.3%
1	60	1.3%
2	16	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4707	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3062	65.1%
.	1569	33.3%
1	60	1.3%
2	16	0.3%

NOT_NA_1_n
Categorical

Distinct	5
Distinct (%)	0.3%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1237
1.0	376
2.0	53
3.0	17
4.0	7

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	3.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1237	72.8%
1.0	376	22.1%
2.0	53	3.1%
3.0	17	1.0%
4.0	7	0.4%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1237	73.2%
1.0	376	22.2%
2.0	53	3.1%
3.0	17	1.0%
4.0	7	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	2927	57.7%
.	1690	33.3%
1	376	7.4%
2	53	1.0%
3	17	0.3%
4	7	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2927	86.6%
1	376	11.1%
2	53	1.6%
3	17	0.5%
4	7	0.2%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2927	57.7%
.	1690	33.3%
1	376	7.4%
2	53	1.0%
3	17	0.3%
4	7	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2927	57.7%
.	1690	33.3%
1	376	7.4%
2	53	1.0%
3	17	0.3%
4	7	0.1%

NOT_NA_2_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.3%
Missing	110
Missing (%)	6.5%
Memory size	13.4 KiB

0.0	1454
1.0	95
2.0	38
3.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4770
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	2.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1454	85.5%
1.0	95	5.6%
2.0	38	2.2%
3.0	3	0.2%
(Missing)	110	6.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1454	91.4%
1.0	95	6.0%
2.0	38	2.4%
3.0	3	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	3044	63.8%
.	1590	33.3%
1	95	2.0%
2	38	0.8%
3	3	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3180	66.7%
Other Punctuation	1590	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3044	95.7%
1	95	3.0%
2	38	1.2%
3	3	0.1%

Other Punctuation

Value	Count	Frequency (%)
.	1590	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4770	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3044	63.8%
.	1590	33.3%
1	95	2.0%
2	38	0.8%
3	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4770	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3044	63.8%
.	1590	33.3%
1	95	2.0%
2	38	0.8%
3	3	0.1%

NOT_NA_3_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	0.2%
Missing	131
Missing (%)	7.7%
Memory size	13.4 KiB

0.0	1474
1.0	57
2.0	38

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	4707
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	2.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1474	86.7%
1.0	57	3.4%
2.0	38	2.2%
(Missing)	131	7.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1474	93.9%
1.0	57	3.6%
2.0	38	2.4%

Most occurring characters

Value	Count	Frequency (%)
0	3043	64.6%
.	1569	33.3%
1	57	1.2%
2	38	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3138	66.7%
Other Punctuation	1569	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3043	97.0%
1	57	1.8%
2	38	1.2%

Other Punctuation

Value	Count	Frequency (%)
.	1569	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4707	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3043	64.6%
.	1569	33.3%
1	57	1.2%
2	38	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4707	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3043	64.6%
.	1569	33.3%
1	57	1.2%
2	38	0.8%

LID_S_n
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	10
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1211
1.0	479

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5070
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1211	71.2%
1.0	479	28.2%
(Missing)	10	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1211	71.7%
1.0	479	28.3%

Most occurring characters

Value	Count	Frequency (%)
0	2901	57.2%
.	1690	33.3%
1	479	9.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3380	66.7%
Other Punctuation	1690	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2901	85.8%
1	479	14.2%

Other Punctuation

Value	Count	Frequency (%)
.	1690	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5070	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2901	57.2%
.	1690	33.3%
1	479	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2901	57.2%
.	1690	33.3%
1	479	9.4%

B_BLOK_S_n
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	11
Missing (%)	0.6%
Memory size	13.4 KiB

0.0	1474
1.0	215

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5067
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1474	86.7%
1.0	215	12.6%
(Missing)	11	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1474	87.3%
1.0	215	12.7%

Most occurring characters

Value	Count	Frequency (%)
0	3163	62.4%
.	1689	33.3%
1	215	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3378	66.7%
Other Punctuation	1689	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3163	93.6%
1	215	6.4%

Other Punctuation

Value	Count	Frequency (%)
.	1689	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5067	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3163	62.4%
.	1689	33.3%
1	215	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5067	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3163	62.4%
.	1689	33.3%
1	215	4.2%

ANT_CA_S_n
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	13
Missing (%)	0.8%
Memory size	13.4 KiB

1.0	1125
0.0	562

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5061
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1125	66.2%
0.0	562	33.1%
(Missing)	13	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	1125	66.7%
0.0	562	33.3%

Most occurring characters

Value	Count	Frequency (%)
0	2249	44.4%
.	1687	33.3%
1	1125	22.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3374	66.7%
Other Punctuation	1687	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2249	66.7%
1	1125	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	1687	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5061	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2249	44.4%
.	1687	33.3%
1	1125	22.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5061	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2249	44.4%
.	1687	33.3%
1	1125	22.2%

GEPAR_S_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	17
Missing (%)	1.0%
Memory size	13.4 KiB

1.0	1203
0.0	480

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5049
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	1203	70.8%
0.0	480	28.2%
(Missing)	17	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	1203	71.5%
0.0	480	28.5%

Most occurring characters

Value	Count	Frequency (%)
0	2163	42.8%
.	1683	33.3%
1	1203	23.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3366	66.7%
Other Punctuation	1683	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2163	64.3%
1	1203	35.7%

Other Punctuation

Value	Count	Frequency (%)
.	1683	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5049	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2163	42.8%
.	1683	33.3%
1	1203	23.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5049	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2163	42.8%
.	1683	33.3%
1	1203	23.8%

ASP_S_n
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	17
Missing (%)	1.0%
Memory size	13.4 KiB

1.0	1252
0.0	431

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5049
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1252	73.6%
0.0	431	25.4%
(Missing)	17	1.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	1252	74.4%
0.0	431	25.6%

Most occurring characters

Value	Count	Frequency (%)
0	2114	41.9%
.	1683	33.3%
1	1252	24.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3366	66.7%
Other Punctuation	1683	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2114	62.8%
1	1252	37.2%

Other Punctuation

Value	Count	Frequency (%)
.	1683	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5049	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2114	41.9%
.	1683	33.3%
1	1252	24.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5049	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2114	41.9%
.	1683	33.3%
1	1252	24.8%

TIKL_S_n
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	16
Missing (%)	0.9%
Memory size	13.4 KiB

0.0	1654
1.0	30

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5052
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	1654	97.3%
1.0	30	1.8%
(Missing)	16	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1654	98.2%
1.0	30	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	3338	66.1%
.	1684	33.3%
1	30	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3368	66.7%
Other Punctuation	1684	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3338	99.1%
1	30	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	1684	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5052	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3338	66.1%
.	1684	33.3%
1	30	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5052	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3338	66.1%
.	1684	33.3%
1	30	0.6%

TRENT_S_n
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	16
Missing (%)	0.9%
Memory size	13.4 KiB

0.0	1343
1.0	341

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	5052
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	1343	79.0%
1.0	341	20.1%
(Missing)	16	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	1343	79.8%
1.0	341	20.2%

Most occurring characters

Value	Count	Frequency (%)
0	3027	59.9%
.	1684	33.3%
1	341	6.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3368	66.7%
Other Punctuation	1684	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3027	89.9%
1	341	10.1%

Other Punctuation

Value	Count	Frequency (%)
.	1684	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5052	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3027	59.9%
.	1684	33.3%
1	341	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5052	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3027	59.9%
.	1684	33.3%
1	341	6.7%

FIBR_PREDS
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1530
1	170

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1530	90.0%
1	170	10.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1530	90.0%
1	170	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	1530	90.0%
1	170	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1530	90.0%
1	170	10.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1530	90.0%
1	170	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1530	90.0%
1	170	10.0%

PREDS_TAH
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1680
1	20

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1680	98.8%
1	20	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1680	98.8%
1	20	1.2%

Most occurring characters

Value	Count	Frequency (%)
0	1680	98.8%
1	20	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1680	98.8%
1	20	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1680	98.8%
1	20	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1680	98.8%
1	20	1.2%

JELUD_TAH
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1658
1	42

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1658	97.5%
1	42	2.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1658	97.5%
1	42	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	1658	97.5%
1	42	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1658	97.5%
1	42	2.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1658	97.5%
1	42	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1658	97.5%
1	42	2.5%

FIBR_JELUD
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1629
1	71

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1629	95.8%
1	71	4.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1629	95.8%
1	71	4.2%

Most occurring characters

Value	Count	Frequency (%)
0	1629	95.8%
1	71	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1629	95.8%
1	71	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1629	95.8%
1	71	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1629	95.8%
1	71	4.2%

A_V_BLOK
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1643
1	57

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1643	96.6%
1	57	3.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1643	96.6%
1	57	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	1643	96.6%
1	57	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1643	96.6%
1	57	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1643	96.6%
1	57	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1643	96.6%
1	57	3.4%

OTEK_LANC
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1541
1	159

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Most occurring characters

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

RAZRIV
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1646
1	54

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1646	96.8%
1	54	3.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1646	96.8%
1	54	3.2%

Most occurring characters

Value	Count	Frequency (%)
0	1646	96.8%
1	54	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1646	96.8%
1	54	3.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1646	96.8%
1	54	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1646	96.8%
1	54	3.2%

DRESSLER
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1625
1	75

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1625	95.6%
1	75	4.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1625	95.6%
1	75	4.4%

Most occurring characters

Value	Count	Frequency (%)
0	1625	95.6%
1	75	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1625	95.6%
1	75	4.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1625	95.6%
1	75	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1625	95.6%
1	75	4.4%

ZSN
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1306
1	394

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	1306	76.8%
1	394	23.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1306	76.8%
1	394	23.2%

Most occurring characters

Value	Count	Frequency (%)
0	1306	76.8%
1	394	23.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1306	76.8%
1	394	23.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1306	76.8%
1	394	23.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1306	76.8%
1	394	23.2%

REC_IM
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1541
1	159

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Most occurring characters

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1541	90.6%
1	159	9.4%

P_IM_STEN
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.4 KiB

0	1552
1	148

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1552	91.3%
1	148	8.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1552	91.3%
1	148	8.7%

Most occurring characters

Value	Count	Frequency (%)
0	1552	91.3%
1	148	8.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1700	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1552	91.3%
1	148	8.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1552	91.3%
1	148	8.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1552	91.3%
1	148	8.7%

LET_IS
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4770588235

Minimum	0
Maximum	7
Zeros	1429
Zeros (%)	84.1%
Negative	0
Negative (%)	0.0%
Memory size	13.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.381817796
Coefficient of variation (CV)	2.896535453
Kurtosis	10.75468144
Mean	0.4770588235
Median Absolute Deviation (MAD)	0
Skewness	3.338822871
Sum	811
Variance	1.90942042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	1429	84.1%
1	110	6.5%
3	54	3.2%
6	27	1.6%
7	27	1.6%
4	23	1.4%
2	18	1.1%
5	12	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1429	84.1%
1	110	6.5%
2	18	1.1%
3	54	3.2%
4	23	1.4%
5	12	0.7%
6	27	1.6%
7	27	1.6%

Value	Count	Frequency (%)
7	27	1.6%
6	27	1.6%
5	12	0.7%
4	23	1.4%
3	54	3.2%
2	18	1.1%
1	110	6.5%
0	1429	84.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	ID	AGE	SEX	INF_ANAM	STENOK_AN	FK_STENOK	IBS_POST	IBS_NASL	GB	DLIT_AG	ZSN_A	endocr_01	zab_leg_01	S_AD_KBRIG	D_AD_KBRIG	S_AD_ORIT	D_AD_ORIT	ant_im	lat_im	inf_im	post_im	ritm_ecg_p_01	ritm_ecg_p_07	n_r_ecg_p_01	n_r_ecg_p_03	n_r_ecg_p_04	n_r_ecg_p_05	n_p_ecg_p_08	GIPO_K	K_BLOOD	GIPER_NA	NA_BLOOD	ALT_BLOOD	AST_BLOOD	KFK_BLOOD	L_BLOOD	ROE	TIME_B_S	R_AB_1_n	R_AB_3_n	NA_KB	NOT_NA_KB	LID_KB	NA_R_1_n	NOT_NA_1_n	NOT_NA_2_n	NOT_NA_3_n	LID_S_n	B_BLOK_S_n	ANT_CA_S_n	GEPAR_S_n	ASP_S_n	TIKL_S_n	TRENT_S_n	FIBR_PREDS	ZSN
0	1	77.0	1	2.0	1.0	1.0	2.0	NaN	3.0	7.0	0.0	0.0	0.0	NaN	NaN	180.0	100.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0	0.0	4.7	0.0	138.0	NaN	NaN	NaN	8.0	16.0	4.0	0.0	1.0	NaN	NaN	NaN	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	0.0	0.0	0	0
1	2	55.0	1	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	120.0	90.0	4.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	3.5	0.0	132.0	0.38	0.18	NaN	7.8	3.0	2.0	0.0	0.0	1.0	0.0	1.0	0.0	1.0	0.0	0.0	1.0	0.0	1.0	1.0	1.0	0.0	1.0	0	0
2	3	52.0	1	0.0	0.0	0.0	2.0	NaN	2.0	2.0	0.0	0.0	0.0	150.0	100.0	180.0	100.0	4.0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	4.0	0.0	132.0	0.30	0.11	NaN	10.8	NaN	3.0	3.0	0.0	1.0	1.0	1.0	1.0	3.0	2.0	2.0	1.0	1.0	0.0	1.0	1.0	0.0	0.0	0	0
3	4	68.0	0	0.0	0.0	0.0	2.0	NaN	2.0	3.0	1.0	0.0	1.0	NaN	NaN	120.0	70.0	0.0	1.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	3.9	0.0	146.0	0.75	0.37	NaN	NaN	NaN	2.0	0.0	1.0	NaN	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	0.0	0	1
4	5	60.0	1	0.0	0.0	0.0	2.0	NaN	3.0	7.0	0.0	0.0	0.0	190.0	100.0	160.0	90.0	4.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	3.5	0.0	132.0	0.45	0.22	NaN	8.3	NaN	9.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	1.0	0	0
5	6	64.0	1	0.0	1.0	2.0	1.0	NaN	0.0	0.0	0.0	0.0	0.0	NaN	NaN	140.0	90.0	1.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	0.45	0.22	NaN	7.2	2.0	2.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0.0	0.0	1	0
6	7	70.0	1	1.0	1.0	2.0	1.0	NaN	2.0	7.0	1.0	0.0	1.0	120.0	80.0	120.0	80.0	0.0	0.0	3.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	0.30	0.11	NaN	11.1	5.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	0.0	1.0	0	1
7	8	65.0	1	0.0	1.0	1.0	2.0	NaN	2.0	7.0	0.0	0.0	0.0	NaN	NaN	145.0	95.0	0.0	0.0	2.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	4.5	0.0	136.0	NaN	NaN	NaN	6.2	20.0	7.0	3.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	1.0	1.0	0.0	0.0	0	0
8	9	60.0	1	0.0	0.0	0.0	2.0	NaN	2.0	6.0	0.0	0.0	0.0	200.0	120.0	195.0	120.0	0.0	0.0	3.0	2.0	1.0	0.0	1.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	0.30	0.37	NaN	6.2	3.0	3.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	NaN	NaN	NaN	NaN	1	0
9	10	77.0	0	2.0	0.0	0.0	0.0	NaN	3.0	6.0	1.0	1.0	0.0	NaN	NaN	200.0	100.0	4.0	1.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	0.38	0.11	NaN	6.9	30.0	3.0	0.0	0.0	NaN	NaN	NaN	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0	1

Last rows

	ID	AGE	SEX	INF_ANAM	STENOK_AN	FK_STENOK	IBS_POST	IBS_NASL	GB	SIM_GIPERT	DLIT_AG	ZSN_A	nr_04	nr_08	endocr_02	zab_leg_02	S_AD_KBRIG	D_AD_KBRIG	S_AD_ORIT	D_AD_ORIT	K_SH_POST	MP_TP_POST	FIB_G_POST	ant_im	lat_im	inf_im	post_im	ritm_ecg_p_01	ritm_ecg_p_02	ritm_ecg_p_04	ritm_ecg_p_06	ritm_ecg_p_07	ritm_ecg_p_08	n_r_ecg_p_01	n_r_ecg_p_02	n_r_ecg_p_03	n_r_ecg_p_04	n_r_ecg_p_05	n_r_ecg_p_06	n_r_ecg_p_08	n_r_ecg_p_09	n_r_ecg_p_10	n_p_ecg_p_01	n_p_ecg_p_03	n_p_ecg_p_04	n_p_ecg_p_05	n_p_ecg_p_06	n_p_ecg_p_07	n_p_ecg_p_08	n_p_ecg_p_09	n_p_ecg_p_10	n_p_ecg_p_11	n_p_ecg_p_12	fibr_ter_03	GIPO_K	K_BLOOD	GIPER_NA	NA_BLOOD	ALT_BLOOD	AST_BLOOD	KFK_BLOOD	L_BLOOD	ROE	TIME_B_S	R_AB_1_n	R_AB_2_n	R_AB_3_n	NA_KB	NOT_NA_KB	LID_KB	NITR_S	NA_R_1_n	NA_R_2_n	NA_R_3_n	NOT_NA_1_n	NOT_NA_2_n	NOT_NA_3_n	LID_S_n	B_BLOK_S_n	ANT_CA_S_n	GEPAR_S_n	ASP_S_n	FIBR_PREDS	A_V_BLOK	OTEK_LANC	RAZRIV	REC_IM	LET_IS
1690	1691	77.0	1	0.0	0.0	0.0	0.0	NaN	2.0	0.0	NaN	0.0	0.0	0.0	0.0	0.0	NaN	NaN	140.0	80.0	0.0	0.0	0.0	0.0	0.0	4.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	5.4	13.0	5.0	0.0	0.0	0.0	1.0	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0	1	0	1	0	3
1691	1692	62.0	1	0.0	0.0	0.0	0.0	NaN	0.0	1.0	7.0	0.0	0.0	0.0	1.0	0.0	NaN	NaN	140.0	80.0	0.0	0.0	0.0	4.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	4.9	0.0	133.0	0.15	0.07	NaN	10.5	3.0	1.0	0.0	NaN	NaN	NaN	NaN	NaN	0.0	1.0	NaN	NaN	2.0	NaN	NaN	1.0	0.0	1.0	1.0	1.0	0	0	0	1	0	3
1692	1693	71.0	0	0.0	6.0	2.0	2.0	NaN	2.0	0.0	7.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	110.0	70.0	0.0	0.0	0.0	4.0	2.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	3.4	0.0	133.0	0.52	0.22	NaN	5.1	8.0	1.0	1.0	0.0	0.0	NaN	NaN	NaN	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0	1.0	1.0	1	0	0	1	1	3
1693	1694	70.0	0	0.0	2.0	2.0	1.0	NaN	2.0	0.0	7.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	140.0	80.0	0.0	0.0	0.0	4.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	0.52	0.48	NaN	NaN	NaN	1.0	0.0	NaN	NaN	1.0	1.0	1.0	0.0	0.0	NaN	NaN	1.0	NaN	NaN	0.0	0.0	0.0	1.0	0.0	0	0	0	1	0	3
1694	1695	77.0	0	0.0	0.0	0.0	0.0	NaN	2.0	0.0	7.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	150.0	90.0	0.0	0.0	0.0	4.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	3.9	0.0	136.0	0.23	0.18	NaN	5.5	20.0	3.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0	0.0	0	0	0	1	0	3
1695	1696	77.0	0	0.0	4.0	2.0	1.0	NaN	2.0	0.0	7.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	110.0	70.0	0.0	0.0	0.0	NaN	NaN	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	3.7	0.0	130.0	1.05	0.52	NaN	12.8	6.0	2.0	0.0	NaN	NaN	1.0	1.0	1.0	0.0	0.0	NaN	NaN	0.0	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0	1	0	1	0	3
1696	1697	70.0	0	0.0	6.0	2.0	1.0	NaN	2.0	0.0	7.0	0.0	0.0	0.0	0.0	1.0	NaN	NaN	50.0	0.0	1.0	0.0	0.0	0.0	0.0	2.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	2.0	0.0	NaN	NaN	1.0	NaN	NaN	0.0	0.0	NaN	NaN	0.0	NaN	NaN	1.0	0.0	0.0	0.0	0.0	0	0	0	0	0	1
1697	1698	55.0	1	3.0	6.0	2.0	2.0	NaN	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	70.0	50.0	NaN	0.0	0.0	4.0	1.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	NaN	NaN	NaN	NaN	0.23	0.15	NaN	8.3	13.0	1.0	2.0	0.0	0.0	NaN	NaN	NaN	1.0	2.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	1.0	0	0	0	0	1	6
1698	1699	79.0	0	2.0	2.0	2.0	1.0	NaN	2.0	0.0	7.0	NaN	1.0	0.0	0.0	0.0	NaN	NaN	110.0	70.0	0.0	1.0	0.0	NaN	NaN	NaN	NaN	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	3.1	0.0	136.0	0.45	0.45	NaN	7.5	4.0	2.0	1.0	NaN	NaN	1.0	0.0	1.0	1.0	2.0	NaN	NaN	1.0	NaN	NaN	1.0	0.0	1.0	1.0	1.0	0	0	1	0	0	1
1699	1700	63.0	1	2.0	NaN	NaN	NaN	NaN	2.0	0.0	NaN	4.0	0.0	1.0	0.0	1.0	NaN	NaN	0.0	0.0	1.0	0.0	1.0	0.0	0.0	2.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	0.0	NaN	NaN	NaN	NaN	NaN	1.0	0.0	NaN	NaN	0.0	NaN	NaN	0.0	0.0	0.0	0.0	0.0	0	0	0	0	0	1

Overview

Variables

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ASCII

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Common

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ASCII

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Pie chart

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Common

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ASCII

Common Values

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Pie chart

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Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts